Live roles in US Digital Health

This is a Senior Software Engineer (Full Stack) opportunity with a New York clinical AI company that builds infrastructure which health systems, life sciences companies, payors and government agencies use to run patient-facing care. The role builds the applications that clinical teams, researchers and customers use every day, owning features from database to UI.

You’ll build real-time clinical oversight interfaces, own features end to end across schema, API and UI, build tools that let non-engineers shape agent behaviour, and enable natural-language exploration of healthcare data. You’ll also harden reliability and performance. The posting does not name a specific stack.

The ideal candidate will have shipped production full-stack features and be strong across data modelling, APIs and modern front-end, with high standards for correctness when working with sensitive data and good product sense. Regulated-domain experience, WebSockets or server-sent events, complex UI state and production AI or ML experience would be advantageous. Years of experience are not stated. This is an on-site role in New York City, with San Francisco as a secondary location.

This is a Staff Forward Deployed Engineer opportunity with a New York clinical AI company that builds infrastructure which health systems, life sciences companies, payors and government agencies use to run patient-facing care. The role leads the technical delivery of customer deployments end to end, setting architecture, planning the work and owning quality, and the leadership can lean technical, people-focused or both.

You’ll lead a major healthcare AI deployment from the first conversation to production, turn ambiguous customer needs into technical plans, set architecture and standards, and make tradeoff calls on what to build, reuse or push back on. You’ll work directly with customers to keep scope, timelines and quality on track, and grow the engineers around you. The work centres on LLMs and agent systems.

The ideal candidate will have led significant engineering work as a tech lead, staff engineer or engineering manager, can break ambiguous problems into deliverable work, and has hands-on LLM and agent-systems experience or the ability to ramp up fast. Experience in regulated or high-reliability domains, forward-deployed or customer-facing work, and running a small team would be advantageous. This is an on-site role in New York City or San Francisco.

This is a Staff Software Engineer (Full Stack) opportunity with a New York clinical AI company that builds infrastructure which health systems, life sciences companies, payors and government agencies use to run patient-facing care. It is the staff-level version of the company’s full-stack role, building clinical oversight interfaces, natural-language data research and tools for shaping agent behaviour, with features owned end to end.

You’ll build real-time clinical oversight interfaces, own features across schema, API and UI, build tools that let non-engineers shape agent behaviour, and enable natural-language exploration of healthcare data. You’ll set the standard for reliability and performance of the applications that clinical teams and customers use daily. The posting does not name a specific stack.

The ideal candidate will have shipped production full-stack features at scale, be strong across data modelling, APIs and modern front-end, and hold high standards for correctness with sensitive data, with the product sense to lead at staff level. Regulated-domain experience, WebSockets or server-sent events, design systems and production AI or ML would be advantageous. Years of experience are not stated. This is an on-site role in New York City, with San Francisco as a secondary location.

This is a Staff Software Engineer (Backend and Infrastructure) opportunity with a New York clinical AI company that builds infrastructure which health systems, life sciences companies, payors and government agencies use to run patient-facing care. The role builds and owns the core backend services behind the company’s agent platform, which handles millions of conversations each month.

You’ll build high-throughput services for concurrent conversations, own a core platform service from design through production, and work on availability and graceful degradation. You’ll handle sensitive healthcare data, improve performance and observability, and make architecture decisions. The posting mentions queues and databases but does not name a specific stack.

The ideal candidate will have built and operated production backend systems at scale, with strength in concurrency, distributed systems and service design, a preference for simple, maintainable solutions and the ability to debug across services, queues and databases. Experience in regulated or high-reliability domains, high-throughput or low-latency design and production AI or ML would be advantageous. Years of experience are not stated. This is an on-site role in New York City, with San Francisco as a secondary location.

This is a Senior Forward Deployed Engineer opportunity with a New York clinical AI company that builds infrastructure which health systems, life sciences companies, payors and government agencies use to run patient-facing care. The role leads the technical delivery of customer deployments end to end, setting architecture, committing timelines and holding the bar for what ships, sitting across engineering, product and the customer.

You’ll lead an AI deployment for a major healthcare customer from the first conversation to production, turn ambiguous customer needs into technical plans with owners and timelines, and make tradeoff calls on what to build, reuse or push back on. You’ll work directly with customers to keep scope, timelines and quality on track.

The ideal candidate will be able to break hard, ambiguous problems into work other engineers can deliver, with real experience of LLMs and agent systems or the depth to get there fast, and the judgement to say no when something does not hold up. Direct, high-bar leadership through architecture, people or both is expected. Regulated-domain experience and customer-facing background would be advantageous. Years of experience are not stated. This is an on-site role in New York City or San Francisco.

This is a Head of Engineering opportunity with a New York clinical AI company that builds infrastructure which health systems, life sciences companies, payors and government agencies use to run patient-facing care. It is a generalist engineering leadership role owning application, backend and infrastructure, and data platform teams, setting technical direction and quality standards and working closely with the CTO on strategy.

You’ll lead and grow engineering across those three areas, hire engineers and develop future leaders, and drive work from problem definition through deployment, balancing speed with reliability. You’ll guide system design and architectural tradeoffs, set engineering culture including code review and incident response, align with Applied AI, Forward Deployed and product teams on platform scope, and keep the team focused on reliability, security and privacy for patient data.

The ideal candidate will have a track record of engineering leadership in strong engineering cultures, breadth across more than one of application, backend and infrastructure, and data platform, and experience managing engineers through hiring, mentorship and performance conversations. They will keep enough current technical depth for system design decisions. Healthcare experience is not required. Years of experience are not stated. This is an on-site role in New York City, with San Francisco as a secondary location.

This is a Senior Software Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning, finance and operations in one system. The business serves hundreds of brands and has raised a significant Series B round. Note that this is a CPG finance business, not healthtech.

You’ll build core platform infrastructure, including data pipelines, financial analytics, backend services and APIs, and AI-powered document workflows. You’ll work closely with product and sometimes directly with customers, and own backend and systems design decisions.

The ideal candidate will have 6+ years of software engineering experience with strong backend and systems design skills. The wider stack includes Ruby on Rails, Python, TypeScript and React. This is an on-site role in New York City with relocation support, suited to an engineer who wants to build AI-enabled finance software at pace.

This is a Senior Applied AI/ML Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The business has raised a significant Series B round. Note that this is a CPG finance business, not healthtech.

You’ll own AI problems end to end, including LLM systems that turn inconsistent financial documents into clean, validated data, agentic workflows that reason over fragmented enterprise systems, and demand forecasts across thousands of intermittent time series using classical and gradient-boosted models. You’ll handle messy-data engineering (anomaly detection, entity reconciliation, ingestion from varied sources) and define success through evaluation datasets, benchmarks and monitoring.

The ideal candidate will have 5+ years of applied AI and ML experience with production systems and strong evaluation and monitoring practice. Depth in at least one of forecasting and statistical modelling, LLM and agentic systems, or large-scale messy-data engineering is expected. This is an on-site role in New York City with relocation support.

This is a Staff Software Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role leads architecture and development on major platform and infrastructure initiatives. Note that this is a CPG finance business, not healthtech.

You’ll lead the design of large platform initiatives, shape technical strategy with engineering leadership, and mentor other engineers. The stack across the business includes Ruby on Rails, Python, TypeScript and React.

The ideal candidate will have 8+ years of software engineering experience, including 2+ at staff level, with strong systems design skills. This is an on-site role in New York City with relocation support, suited to a staff engineer who wants to set direction as the engineering team grows from around 20 towards 50.

This is a Software Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. It is a generalist product engineering role. Note that this is a CPG finance business, not healthtech.

You’ll build product features and backend services across the stack, including AI-powered document processing, and ship production software in a fast-moving team. The stack across the business includes Ruby on Rails, Python, TypeScript and React.

The ideal candidate will have 2+ years of software engineering experience, strong programming fundamentals and a record of shipping production software. This is an on-site role in New York City with relocation support, suited to an engineer earlier in their career who wants to grow quickly.

This is a Forward Deployed Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role works directly with enterprise customers during onboarding and implementation. Note that this is a CPG finance business, not healthtech.

You’ll build integrations with customer systems such as retailer and freight portals, run implementations end to end, and feed product gaps back to the core team. The stack includes Ruby on Rails, Python, TypeScript, React, Vue, PostgreSQL, Snowflake, AWS and AI tooling built on foundation models.

The ideal candidate will have 2+ years of engineering experience and be comfortable with ambiguous, customer-facing work. This is an on-site role in New York City, suited to an engineer who likes being close to customers.

This is a Senior Frontend Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role owns the user-facing platform for complex financial workflows. Note that this is a CPG finance business, not healthtech.

You’ll build and scale the frontend architecture, develop fast, responsive interfaces for complex financial workflows, integrate APIs with backend engineers, and design UI systems that visualise financial data, analytics and forecasts. You’ll create reusable components and design systems and own frontend performance and reliability. Example projects include invoice and deduction management, forecasting dashboards and large dataset visualisation.

The ideal candidate will have 4+ years of software engineering experience with a frontend focus, strong React or similar, a strong grasp of UI/UX principles and experience shipping production web applications. Experience with data-heavy applications and design systems would be advantageous. This is an on-site role in New York City with relocation support.

This is a Senior Analytics Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role owns the central data warehouse and analytics foundations. Note that this is a CPG finance business, not healthtech.

You’ll build and maintain the warehouse and analytics infrastructure, design scalable data models for reporting, dashboards and customer-facing exports, and consolidate models into a single source of truth. You’ll set standards for modelling, testing, documentation, monitoring and governance, track lineage, and work with Engineering, Product, Operations and customer teams to define metrics.

The ideal candidate will have 4 to 8+ years building and operating modern data warehouses, strong SQL, experience with distributed data processing and performant ETL pipelines, and familiarity with Snowflake, dbt or similar. This is an on-site role in New York City with relocation support.

This is a Data Scientist opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role builds models that help brands forecast sales, set prices and plan promotions. Note that this is a CPG finance business, not healthtech.

You’ll improve demand and sales forecasts across thousands of noisy retail time series, measure promotion effectiveness (lift, price elasticity, cannibalisation) and build statistical checks that keep models reliable as data quality shifts. Models ship inside the product, working with the AI/ML engineering team. The stack is Python, SQL, Snowflake, dbt and AWS.

The ideal candidate will have 3 to 5+ years of hands-on data science with real-world data, strong statistics (regression, time series, experiment design, uncertainty quantification) and fluency in Python and SQL. Retail, CPG or supply chain data and production model deployment would be advantageous. This is a New York City role with relocation support.

This is an Applied AI/ML Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role builds production LLM and forecasting systems. Note that this is a CPG finance business, not healthtech.

You’ll build LLM systems that convert inconsistent financial documents into validated data, design agentic workflows with evaluation harnesses and guardrails, and improve demand forecasts across thousands of intermittent time series. You’ll clean and reconcile messy data and define success through eval datasets, benchmarks and monitoring.

The ideal candidate will have 3+ years of applied AI and ML experience with production systems, routinely builds evaluation and monitoring, and has strong product sense. A Master’s degree in a STEM field is listed. Forecasting (Prophet, ARIMA-family, gradient-boosted models), RAG and information extraction experience would be advantageous. This is a New York City role with relocation support.

This is an Engineering Manager opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. It is a player-coach role creating the first management layer in an engineering team of 20+ that is heading towards 50+. Note that this is a CPG finance business, not healthtech.

You’ll manage 6 to 10 engineers, own delivery of the team’s roadmap with lightweight process, work with the CTO on org design, career ladders and management practice, take part in architecture reviews, and build and run hiring. You’ll also develop future leads and managers. The stack is Ruby on Rails, TypeScript and React, and Python.

The ideal candidate will have 3+ years managing engineers and 5+ years as a hands-on engineer, experience scaling through hyper-growth at an early-stage startup, and enough technical depth to contribute to design reviews with senior engineers. This is a New York City role with relocation support.

This is a Senior Data Scientist opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role builds forecasting and pricing models on messy retail data. Note that this is a CPG finance business, not healthtech.

You’ll build forecasting models for sales, demand and pricing across thousands of noisy retail time series, measure promotion effectiveness, create statistical checks and evaluation methods, and turn analyses into models that ship inside the product. The data covers sell-through, inventory, deductions, trade promotions and supply-chain signals. The stack is Python, SQL, Snowflake, dbt and AWS.

The ideal candidate will have 5+ years of hands-on data science with real-world data, strong statistical foundations and fluency in Python and SQL. Retail or CPG data, production model deployment and forecasting at scale would be advantageous. This is a New York City role with relocation support.

This is a Design Engineer opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role sits between design and front-end engineering and shapes how operators use complex tools. Note that this is a CPG finance business, not healthtech.

You’ll help set product and feature direction, build early working prototypes, test them with real customers, and turn validated patterns into production code and design system contributions. You’ll work closely with product and engineering to define, prototype and ship, often within the same week, and focus on the interface details that make complex operator tools easy to use.

The ideal candidate will have 3 to 5 years of experience spanning design and front-end engineering, ideally in B2B SaaS or complex workflow products, with a portfolio showing product thinking and polish. Active use of AI coding tools such as Cursor and Claude Code is expected. This is a New York City role with relocation support.

This is a Data Engineering Manager opportunity with a growing New York AI platform for consumer packaged goods brands, running deductions, cash application, planning and finance in one system. The role builds the data team from a single senior analytics engineer. Note that this is a CPG finance business, not healthtech.

You’ll manage and develop the team, make major decisions on warehouse design, pipelines, orchestration and tooling, hire data engineers, and set standards for modelling, testing, documentation, monitoring and on-call. You’ll own numbers and pipeline failures and stay hands-on writing SQL, building models and reviewing PRs, particularly early on. The tools are Snowflake, dbt, Airflow, Dagster or similar.

The ideal candidate will have 7+ years in data or analytics engineering, at least 2 years managing engineers, and experience building a data warehouse from an early or messy state. Strong SQL and data modelling and production ETL/ELT experience are expected. This is a New York City role with relocation support.

This is a Software Engineer opportunity with a Series B healthtech company building a nutrition care platform. You’ll build features that patients and dietitians use every day.

You’ll work in Python, TypeScript and React.

The ideal candidate will be a strong full stack engineer who enjoys product work. The role is remote within the US, with offices in New York and the San Francisco Bay Area.

This is a Forward Deployed Engineer opportunity with a Series A healthtech company working with clinical records. You’ll work with customers to get the product live.

You’ll work with Python, SQL, HL7, FHIR and LLMs.

The ideal candidate will have engineering experience in a customer-facing role and knowledge of healthcare data. The role is remote within the US.

This is a Senior Full-Stack Engineer opportunity with a Series A healthtech company working with clinical records. You’ll own key product areas.

You’ll work with React, TypeScript, Python, FastAPI, PostgreSQL, Docker, Redis and GCP.

The ideal candidate will have senior full stack experience. The role is remote within the US.

This is a Founding AI Engineer opportunity with a Seed stage New York healthtech company. You’ll build the AI core of the product from the start.

You’ll work with LLMs, RAG, TypeScript, Python, Docker, FHIR and HL7.

The ideal candidate will be a hands-on builder comfortable with ownership. The role is on-site in New York.

This is a Founding Research Engineer opportunity with a Seed stage New York healthtech company. You’ll shape how LLMs are used and evaluated in the product.

You’ll run experiments and take research into production.

The ideal candidate will have LLM research or applied experience. The role is on-site in New York.

This is a Fractional CTO (Contract) opportunity with a pre-seed health company. You’ll provide senior technical leadership on a part-time basis.

You’ll set technical direction, guide architecture and hiring, and work with the founders.

The ideal candidate will have prior CTO or senior technical leadership experience. The role is remote within the US.

This is a Full Stack Engineer opportunity with a Seed stage New York healthtech company. You’ll build product across the stack.

You’ll own features end to end and work closely with the founders.

The ideal candidate will be a strong, product-minded engineer. The role is on-site in New York.

This is a Forward Deployed Engineer opportunity with a Seed stage New York healthtech company. You’ll work directly with customers.

You’ll build integrations and custom solutions and feed learnings back to the product.

The ideal candidate will have engineering experience in a customer-facing role. The role is on-site in New York.

This is a Forward Deployed Engineer opportunity with a Seed stage AI company. You’ll work with customers to deploy and adapt the platform.

You’ll work with OpenAI and dbt, and build integrations.

The ideal candidate will have engineering experience in a customer-facing role. The role is hybrid, based in New York, the San Francisco Bay Area or remote within the US.

This is a Member of Technical Staff (Site Reliability) opportunity with a Seed stage AI company. You’ll own reliability for an early product.

You’ll work with AWS, GCP, Kubernetes, Python and Go.

The ideal candidate will have SRE or infrastructure experience. The role is hybrid, based in New York, the San Francisco Bay Area or remote within the US.

This is a Member of Technical Staff (Infrastructure) opportunity with a Seed stage AI company. You’ll build the infrastructure foundations early.

You’ll work with AWS, GCP, Kubernetes, Python and Go.

The ideal candidate will have infrastructure experience. The role is hybrid, based in New York, the San Francisco Bay Area or remote within the US.

This is an Integrations Engineer opportunity with a Seed stage AI company. You’ll build integrations that connect the platform to customers’ systems.

You’ll work in TypeScript and Python with OpenAI and dbt.

The ideal candidate will have integration experience. The role is hybrid, based in New York, the San Francisco Bay Area or remote within the US.

This is a Senior Software Engineer opportunity with a Series A New York women’s health company. You’ll build the product and data platform.

You’ll work with Python, Django, React, TypeScript, PostgreSQL, AWS and Snowflake.

The ideal candidate will have senior full stack experience. The role is on-site in New York.

This is a Head of Engineering opportunity with a Series A New York women’s health company. You’ll lead engineering and set direction.

You’ll manage and grow the team across Python, Django, React, PostgreSQL, AWS and Snowflake.

The ideal candidate will have engineering leadership experience. The role is on-site in New York.

This is a Senior Software Engineer (Microservices) opportunity with a Series B New York AI company building empathic voice technology. You’ll build core backend services.

You’ll work with Rust, Go, C++, Linux, PostgreSQL, DynamoDB, GCP and Kubernetes.

The ideal candidate will have senior systems or backend experience. The role is hybrid in New York.

This is a Senior Software Engineer (Data Plane) opportunity with a Series B New York AI company building empathic voice technology. You’ll build high-performance data systems.

You’ll work with Rust, C++, Linux, PyTorch and Python.

The ideal candidate will have senior systems experience. The role is hybrid in New York.

This is a Research Engineer opportunity with a Series B New York AI company building empathic voice technology. You’ll turn research into production.

You’ll work in Python and PyTorch.

The ideal candidate will have research engineering experience in deep learning. The role is on-site in New York.

This is a Senior Software Engineer (Frontend UI) opportunity with a Series B New York AI company building empathic voice technology. You’ll build the interfaces people use to interact with voice AI.

You’ll work with TypeScript, React, Next.js and JavaScript.

The ideal candidate will have senior frontend experience with strong React. The role is on-site in New York.

This is a Staff Software Engineer (Inference Backends) opportunity with a Series B New York AI company building empathic voice technology. You’ll build the systems that serve models at low latency.

You’ll work with Rust, Go, C++, Python, PyTorch and Linux.

The ideal candidate will have staff-level systems or inference experience. The role is on-site in New York.

This is a Data Engineer (ETL) opportunity with a Seed stage New York healthtech company. You’ll build the pipelines that power the product and analytics.

You’ll work with Python, SQL, Airflow and Snowflake, Redshift or BigQuery on AWS and GCP.

The ideal candidate will have solid ETL and data warehouse experience. The role is based in New York.

This is a Product Engineer (Full-Stack) opportunity with a Seed stage New York healthtech company. You’ll build product features end to end.

You’ll work with TypeScript, Node.js, React and Next.js on AWS, and build with LLMs.

The ideal candidate will be a product-minded full stack engineer. The role is based in New York.

This is a Software Engineer opportunity with a Series A New York healthtech company. You’ll build AI-driven features across the stack.

You’ll work in TypeScript and Python, and build with LLMs.

The ideal candidate will be a strong full stack engineer with applied AI interest. The role is on-site in New York.

This is an Applied AI Software Engineer opportunity with a Series A New York healthtech company. You’ll put LLMs into production.

You’ll work in Python and TypeScript, and design, evaluate and ship LLM-driven features.

The ideal candidate will have applied AI experience. The role is on-site in New York.

This is a Member of Technical Staff opportunity with a Series A New York healthtech company. You’ll take broad ownership across the product.

You’ll work in Python and TypeScript with LLMs.

The ideal candidate will be a strong generalist who likes ownership. The role is on-site in New York.

This is an RCM Architect opportunity with a Series A healthtech company working on revenue cycle management. You’ll design the architecture for how claims and billing workflows run.

You’ll work with MongoDB and set technical direction for RCM systems.

The ideal candidate will have RCM domain depth and architecture experience. The role is remote within the US.

This is a Member of Technical Staff (Fullstack) opportunity with a Seed stage New York healthtech company. You’ll build product across the stack from early on.

You’ll work with Next.js, Python, FastAPI, Celery, Redis, Docker and AWS, and build with LLMs.

The ideal candidate will be a strong full stack engineer comfortable with ownership. The role is on-site in New York.

This is a Senior Member of Technical Staff (Applied AI) opportunity with a Seed stage New York healthtech company. You’ll lead the build of applied AI features.

You’ll work with Python, FastAPI, Docker and AWS, and ship LLM systems.

The ideal candidate will have senior applied AI experience. The role is on-site in New York.

This is a Member of Technical Staff (Identity) opportunity with a Seed stage AI company. You’ll build identity and access for an early product.

You’ll work with Python, TypeScript, FastAPI and React on AWS, Azure and GCP.

The ideal candidate will have identity or security engineering experience. The role is hybrid, based in New York, the San Francisco Bay Area or remote within the US.

This is a Translational ML Scientist opportunity with a Series A New York women’s health company. You’ll turn lab and clinical data into models that improve care.

You’ll work with Python, PyTorch and scikit-learn.

The ideal candidate will have an ML background with biological or clinical data. The role is on-site in New York.

This is an ML Tech Lead opportunity with a Series A New York women’s health company. You’ll lead the technical direction of ML.

You’ll guide modelling work, set standards, and work with scientists and engineers.

The ideal candidate will have ML leadership experience. The role is on-site in New York.

This is a Senior Member of Technical Staff opportunity with a Series B New York healthtech company using AI to automate healthcare administration. You’ll build core AI systems.

You’ll work with Python, Go, React and LLMs on AWS.

The ideal candidate will have senior engineering experience with strong LLM skills. The role is on-site in New York.

This is an SVP of Engineering opportunity with a Series C healthtech company working on medical imaging quality. You’ll lead engineering at scale.

You’ll set strategy, grow the organisation, and oversee a data stack that includes HL7, Databricks, Spark and AWS.

The ideal candidate will have senior engineering leadership experience. The role is remote within the US.

This is a Data Engineer opportunity with a growing Series D US digital health business focused on making psychiatry more accessible through technology. The role sits within a growing data team and is aimed at someone past their first data engineering job who can ship reliably and work independently within a defined scope. The business operates at significant scale, with hundreds of psychiatrists and therapists and over two million patient visits delivered, so the pipelines you build feed analytics, operations and clinical reporting that the whole organisation relies on.

You’ll build and maintain ingestion pipelines and Python services on AWS, develop dbt models in Snowflake with proper tests and documentation, and move scheduled tasks into Airflow DAGs. You’ll work closely with the BI and Analytics Engineering team to turn their needs into dependable data engineering work, contribute to CI/CD pipelines and team standards, take part in the on-call rotation and post-mortems, and mentor newer team members.

The ideal candidate will have 2+ years’ experience as a data engineer or in a closely related role such as backend engineering with substantial data work or analytics engineering. Strong Python and advanced SQL are essential, along with experience on a cloud data warehouse (Snowflake preferred) and comfort working in AWS. dbt, Airflow, Fivetran or similar ETL tooling, and healthcare experience would all be advantageous. This is a fully remote US position suited to someone who enjoys owning their pipelines end to end and wants their work to have a visible effect on patient care.

This is a Senior Product Data Scientist opportunity with a growing Series D US digital health business focused on making mental healthcare more accessible through technology. The role sits within the Product organisation and offers broad ownership across product analytics, experimentation, statistical modelling and applied data science. The business operates at significant scale, with a large network of mental health clinicians and millions of patient visits delivered, meaning data-driven improvements can have a tangible impact on patient experience and clinical operations.

You’ll work closely with Product, Engineering and Design teams, alongside stakeholders in Clinical, Operations and Finance, to identify growth opportunities, improve patient engagement and clinician efficiency, and influence strategic decisions. A key part of the role is proactively identifying trends, risks and opportunities rather than simply responding to requests for analysis. You’ll also lead experiments, define success metrics, apply statistical methods to evaluate outcomes, and turn one-off analyses into repeatable reporting and actionable insights for senior stakeholders.

The ideal candidate will have 4+ years’ experience in data science or analytics, strong Python and SQL skills, and a solid grounding in experimental design, causal inference and statistical analysis. Experience working with modern data warehouses such as Snowflake, Redshift or BigQuery is expected, while dbt experience and a background in product growth or experimentation-led teams would be advantageous. This is a senior individual contributor position suited to someone who combines strong technical ability with commercial thinking, clear communication and the confidence to influence product and business decisions in a fast-moving healthcare technology environment.

This is a Staff AI Enablement Engineer opportunity with a growing Series D US digital health business focused on making psychiatry more accessible through technology. The role sits in the Corporate and Technology team and is a hands-on builder role first, with a mandate to define how generative AI and automation are used across the engineering organisation. The business operates at significant scale, with hundreds of psychiatrists and therapists and over two million patient visits delivered, so the tools and agents you ship will change how a large engineering team works day to day.

You’ll act as engineering’s subject-matter expert on generative AI, agentic systems and AI-assisted development. That means meeting each engineering team to find the workflows that slow them down, building a prioritised backlog of AI-enabled solutions, and owning the roadmap from proposal through to measured impact. You’ll evaluate and pilot AI coding assistants, design and run a network of specialised automation agents on a shared architecture, set guardrails for quality, security, cost and responsible use, and help data and clinical teams move rules-based systems towards ML-informed approaches.

The ideal candidate will have 8+ years’ software engineering experience, a record of shipping production systems end to end, and hands-on experience building with LLMs and agentic systems, including prompt design, tool design, evaluation and orchestration. Prior staff or principal-level individual contributor experience is expected, along with applied ML fundamentals and a proven ability to drive adoption without direct authority. Experience in healthcare or another regulated industry, RAG and model evaluation, and building internal developer-experience or AI governance programmes would be advantageous. This is a fully remote US position suited to someone who combines strong engineering depth with product sense, clear communication and the credibility to influence engineering leadership.

This is a Senior Software Engineer (Full Stack) opportunity with a fast-growing US mental health platform focused on making care more effective and accessible. The business runs a three-sided marketplace connecting patients, clinicians and insurance payors, and operates at real scale, with around 15 million therapy sessions started on the platform. The role offers broad ownership of customer-facing features across the stack, in a product-focused engineering organisation where the systems you build directly shape how patients and providers find, book and access care.

You’ll design, build and ship features across frontend and backend, owning work end to end from scoping through testing, deployment and iteration. You’ll improve core systems such as discovery, scheduling and transactions, run A/B tests from hypothesis to rollout, resolve production incidents and complex cross-system bugs, and take an active part in code reviews and architectural discussions. You’ll work closely with Product, Design and Data on scoped, measurable solutions, and may join one of several teams covering areas such as client activation, engagement, care quality and coverage and payments.

The ideal candidate will have 6+ years’ professional software engineering experience, hands-on Python and modern React and TypeScript, and a track record of building production systems where data quality, correctness and performance matter. They will be product-minded, able to deliver scoped work independently, and comfortable using AI-assisted development tools. This is a hybrid position based in New York, with three days a week in the office (Tuesday to Thursday), suited to a senior engineer who wants end-to-end ownership and a clear line from their code to patient outcomes.

This is an Engineering Manager opportunity with a fast-growing US mental health platform focused on making care more effective and accessible. The role leads Momentum, a recently formed team building the experiences that support patients between therapy sessions. The team is moving from early discovery towards scaling what works, so this is a build-from-the-ground-up position with real influence over architecture, team culture and product direction. The business operates at scale, with around 15 million therapy sessions started on its marketplace of patients, clinicians and insurance payors.

You’ll lead a full-stack team of backend and mobile engineers, hire and grow it as it scales, and make the early architecture decisions that set its technical foundation. You’ll work with Product to define the company’s strategy for the time between sessions, use data and patient insight to guide decisions and measure impact, build frameworks for execution and prioritisation, and represent the team to the wider engineering organisation alongside product, design and peer engineering managers.

The ideal candidate will have 3+ years’ experience as an engineering manager and 6+ years as an individual contributor in backend or iOS engineering. They will have strong product sense, a record of delivering complex programmes in ambiguous environments, and experience building high-performing teams. A founder’s mindset (ownership, speed and pragmatism) matters here, and experience building systems for mental health or healthcare professionals would be advantageous. This is a hybrid position in New York or San Francisco, with three days a week in the office, suited to a hands-on engineering leader who wants to shape a new team from its earliest stage.

This is a Staff Android Engineer (Founding) opportunity with a fast-growing US mental health platform focused on making care more effective and accessible. The business runs a three-sided marketplace connecting patients, clinicians and insurance payors, with around 15 million therapy sessions started on the platform. The iOS app has already launched, and this role builds the native Android app from scratch, setting the technical direction from day one across architecture, developer experience and the first production release.

You’ll design the Android foundations, including project structure, state management, build, testing and release infrastructure, and ship consumer-facing features that help patients find care, connect with providers and manage their care between sessions. You’ll set coding standards and tooling that the next Android engineers will build on, own the path to production through CI/CD, Google Play releases and observability, and partner with product, design, iOS and backend teams. The role reports to the Director of Engineering for the Momentum pillar.

The ideal candidate will have 8+ years’ software engineering experience, mostly in native Android with Kotlin, and has led Android technical direction from zero to one or through a major re-architecture. Production experience with Jetpack Compose, coroutines and Flow, dependency injection and modularisation is expected, along with strong product instincts and everyday use of AI development tools. Experience in regulated or healthcare settings, a view on Kotlin Multiplatform, and experience growing an Android team would be advantageous. This is a hybrid position with three days a week in the office (Tuesday to Thursday), in New York or San Francisco, suited to a senior engineer who wants to own a greenfield mobile product end to end.

This is a Data Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in the Engineering team and offers broad ownership of the data pipelines and reusable datasets that serve Business Intelligence, Marketing and Data Science Research. The business analyses a very large volume of claims and clinical quality data, so the quality and reliability of what you build underpins decisions across the company.

You’ll build, optimise and maintain the pipelines that power the business, define and build reusable datasets for analytics and research teams, and design and promote a federated data validation framework that catches inconsistencies early. Protecting user privacy and security is part of the job. The stack is modern and broad, including Python, SQL, Airflow, Snowflake, Postgres, dbt, Spark and Terraform on AWS.

The ideal candidate will have 2+ years’ software or data engineering experience, strong SQL and Python, and a track record of building scalable pipelines with query optimisation and sound data modelling. Experience with orchestration tools such as Airflow and warehouses such as Snowflake is expected, while familiarity with healthcare or insurance data, HIPAA compliance and event-driven or medallion architectures would be advantageous. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to an engineer with a high sense of ownership who enjoys teaching as well as learning.

This is a Director of Engineering opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role leads Financial Incentives Engineering, the function responsible for paying members when they choose better care. That means ingesting claims and eligibility data from third-party administrators, adjudicating claims against benefit rules, accumulating member benefits and moving funds through payments and treasury, all while handling sensitive health and personal data at high and growing volume. The role reports to the CTO.

You’ll own the function’s correctness, reliability, security and pace of improvement, along with a multi-year roadmap. You’ll lead Engineering Managers and senior engineers, set validation standards and a clear definition of done, and stay hands-on in design reviews, code and incidents. You’ll make AI-assisted development the default and push towards more autonomous work with guardrails, move the backend towards event-contract boundaries so teams can ship independently, and make sure no claim is dropped or paid twice. You’ll also hire and develop managers, shape the organisation structure and partner with Product, Finance, Operations and payment partners.

The ideal candidate will have 10+ years’ experience building and operating high-scale, high-reliability backend systems, ideally involving large data volumes or money movement, and 5+ years leading engineering teams including managers. Depth in distributed systems and cloud (event-driven design, idempotency, fault tolerance, AWS), experience with regulated health and financial data, and reconciliation-first design instincts are expected. This is a hands-on leadership position based in New York City, three days a week in the office (Tuesday to Thursday), suited to someone with a strong ownership mindset and a clear view on AI-native engineering.

This is an Engineering Manager opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role leads the Business Productivity team, which improves the efficiency of the company’s internal business units by building AI into their core workflows. It reports to the VP of Platform Engineering and offers a direct line between the software you ship and how the wider business operates.

You’ll lead, mentor and grow an engineering team through coaching, feedback and hiring, and work with internal business units to find high-impact opportunities and deliver features end to end. You’ll drive delivery of AI-native solutions, own core services and keep them secure and reliable, balance quality against speed, and set the technical direction for a roadmap covering AI adoption, employee efficiency and foundational improvements. The stack includes Python, TypeScript, React, Node.js, Postgres and AWS.

The ideal candidate will have 6+ years’ hands-on engineering experience and 2+ years in engineering management, with experience building web applications and APIs on cloud infrastructure. They will have an ownership mindset, the ability to turn non-technical stakeholders’ workflows into technical solutions, and experience in a startup or other fast-moving, high-accountability environment. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a manager who wants to apply AI to real internal workflows and build a team around it.

This is an Engineering Manager (Business Technology) opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role leads the engineering behind the company’s internal support and employee systems, keeping them scalable as headcount grows fast. It reports to the VP of Platform Engineering.

You’ll own the identity provider end to end, including onboarding and offboarding for employees and contractors, and own the internal network for the New York headquarters. You’ll grow the business technology team through capacity planning, hiring and development, and build the metrics that show organisational health, such as support SLA adherence. The environment includes Okta, CrowdStrike, Google Workspace and macOS fleet management.

The ideal candidate will be a manager who can align technical roadmaps with the employee experience, spot where a team is spending time on low-value work and redirect it, and build stakeholder relationships across the business. No specific years of experience are listed, but the role calls for urgency, individual accountability and direct feedback. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a systems-minded leader who enjoys running the internal engine of a high-growth company.

This is an Engineering Manager (Data Platform) opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role leads the Data Platform Engineering team, which builds the reusable data abstractions and high-throughput infrastructure behind the company’s internal and external applications. It also carries a mandate to drive an AI-native engineering culture.

You’ll manage the team and own the design and operation of systems that process complex healthcare data, set standards for data modelling, processing and maintainability, and stay close to the architecture. You’ll turn ambiguous business and data requirements into scoped, estimated work, run design reviews and root cause analyses, mentor engineers, and align priorities with Engineering and Product against company OKRs. The stack includes Python, Spark, dbt, Snowflake, Iceberg, Airflow, Kubernetes and AWS.

The ideal candidate will have 5+ years’ hands-on engineering experience in big data and distributed systems, and 2+ years managing engineering teams. Experience with batch processing (Spark, EMR) and stream processing (Kafka or similar) is expected, along with exposure to tools such as Temporal, Iceberg, Glue and dbt. Healthcare data standards such as HIPAA and EDI would be advantageous. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a technical manager who wants to stay hands-on while scaling a data platform.

This is a Senior Data Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, reports to the VP of Engineering, and owns the pipelines and reusable datasets that serve Business Intelligence, Marketing and Data Science Research. The business works with a very large volume of claims and clinical quality data, so the reliability of this work underpins decisions across the company.

You’ll build, optimise and maintain data pipelines, define and build abstracted datasets for analytics and research teams, and design and promote a federated data validation framework that catches inconsistencies early. Protecting user privacy and security is part of the job. The stack is broad and modern, including Python, SQL, Airflow, Snowflake, Spark, Iceberg, dbt and Terraform on AWS.

The ideal candidate will have 4+ years’ software or data engineering experience across distributed data processing, warehousing, data quality and governance, with expert SQL and strong Python. Experience with Airflow, PostgreSQL, Iceberg and Snowflake, SQL tuning, Spark development, and medallion and event-driven architectures is expected. Familiarity with healthcare or insurance data and HIPAA would be advantageous. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a senior engineer who wants ownership of a core data foundation.

This is a Senior Site Reliability Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in the Platform Engineering team and owns the reliability, performance and resilience of the cloud infrastructure behind the company’s products and its AI and machine learning workloads.

You’ll define, measure and enforce SLOs, join the on-call rotation, lead incident response and root cause analysis, and build the monitoring, alerting and observability systems the wider engineering team relies on. You’ll turn scaling requirements into automated Terraform infrastructure, drive cost and performance improvements, reduce operational toil with automation and AI tools, and make sure operations meet security and HIPAA obligations. The stack includes AWS, Kubernetes, Terraform, Istio, Python, Go and Datadog.

The ideal candidate will have 4+ years’ experience operating production cloud infrastructure at scale in an SRE, DevOps or platform role, with deep Kubernetes and Terraform skills, a record of SLO-led reliability work, and strong Python or Go for automation. Experience supporting AI or data-intensive workloads and working in a regulated environment would be advantageous. This is a remote US position with occasional travel to the New York headquarters, suited to an engineer who combines operational discipline with a bias for automation.

This is a Senior Software Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building systems that analyse billions of medical records to rank healthcare providers. The company runs on AWS and Kubernetes and is adopting AI across how it builds and operates software.

You’ll lead technical strategy and decisions for your domains, use AI to build, optimise and maintain software, and mentor early-career engineers. You’ll work across disciplines to understand the domain and iterate on projects, and protect user privacy and security throughout. The stack includes Python, TypeScript, React, Go, Airflow, dbt and Claude Code.

The ideal candidate will have 4+ years’ software engineering experience, a generalist mindset, and a demonstrated ability to build complex systems with AI coding agents. They will learn quickly, enjoy mentoring, and be familiar with data security and HIPAA. This is a remote US position with occasional travel to the New York headquarters, suited to a senior engineer who wants broad ownership in a high-urgency, high-accountability team.

This is a Senior Software Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building systems that analyse billions of medical records to rank healthcare providers. The company runs on AWS and Kubernetes and is adopting AI across its operations.

You’ll lead technical strategy and decisions for your domains, use AI to build, optimise and maintain software, and mentor and develop early-career engineers. You’ll collaborate across disciplines to understand the domain and iterate on projects, and protect user privacy and security. The stack includes Python, TypeScript, React, Go, Airflow, dbt and Claude Code.

The ideal candidate will have 4+ years’ software engineering experience, a generalist mindset, and a demonstrated ability to build complex systems using AI coding agents. They will be a fast learner who mentors well, familiar with data security and HIPAA, and comfortable in a culture that values urgency and candid feedback. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a senior engineer who wants technical ownership in a fast-moving team.

This is a Software Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building the systems that analyse billions of medical records to rank healthcare providers nationwide. Load on the platform roughly doubles each year, so the work offers early exposure to scaling problems on AWS and Kubernetes.

You’ll use AI to build, optimise and maintain software, collaborate across disciplines to understand the domain and iterate on projects, and protect user privacy and security. The stack includes Python, TypeScript, React, Go, Airflow, dbt and Claude Code.

The ideal candidate will have 2+ years’ software engineering experience, a generalist mindset and a willingness to learn new languages, frameworks and techniques. Familiarity with data security and HIPAA is expected. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to an engineer earlier in their career who wants real responsibility in a team that builds with AI every day. Visa sponsorship is not available.

This is a Software Engineer III opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building the systems that analyse billions of medical records to rank healthcare providers. The platform runs on AWS and Kubernetes and the team uses AI across its operations, with system load roughly doubling each year.

You’ll use AI to build, optimise and maintain software, collaborate across disciplines to understand the domain and iterate on projects, and protect user privacy and security. The stack includes Python, TypeScript, React, Go, Airflow, dbt and Claude Code.

The ideal candidate will have 2+ years’ software engineering experience, particularly with distributed, event-driven architectures, and a generalist mindset with a willingness to learn new tools and techniques. Familiarity with data security and HIPAA is expected, along with comfort in a fast-paced, high-accountability culture. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to an engineer who wants to work on distributed systems at growing scale. Visa sponsorship is not available.

This is a Software Engineer III opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building the systems that analyse billions of medical records to rank healthcare providers. The platform runs on AWS and Kubernetes, and system load roughly doubles each year.

You’ll use AI to build, optimise and maintain software, collaborate across disciplines to understand the domain and iterate on projects, and protect user privacy and security. The stack includes Python, TypeScript, React, Go, Airflow, dbt and Claude Code.

The ideal candidate will have 2+ years’ software engineering experience, particularly with distributed, event-driven architectures, and a generalist mindset with a willingness to learn new tools and techniques. Familiarity with data security and HIPAA is expected, along with comfort in a high-urgency culture that values direct feedback. This is a remote US position with occasional travel to the New York headquarters, suited to an engineer who wants to work on distributed systems at growing scale. Visa sponsorship is not available.

This is a Staff Machine Learning Operations Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Platform Engineering, reports to the VP of Platform Engineering, and is the company’s first dedicated MLOps engineer. It owns the reliability, performance and cost-efficiency of production machine learning systems and builds the platform that lets data science teams deploy models securely and consistently.

You’ll architect the ML platform, including the feature store, model registry, CI/CD for models and standard service patterns. You’ll move deployments from manual notebook handoffs to pull-request-driven pipelines with automated data quality checks and statistical validation, design drift monitoring that lays the groundwork for continuous training, reduce cost and latency, and set the standards and KPIs for a future MLOps team. SLOs, observability and on-call sit with the role.

The ideal candidate will have 7+ years’ software engineering experience, with significant time operating ML or data-intensive production systems at scale. Deep experience with model serving (SageMaker, Triton or similar), feature stores and model registries is expected, along with strong platform fundamentals in Kubernetes, AWS, Terraform and observability. Healthcare or other regulated-data experience would be advantageous. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a senior engineer who wants to build an ML platform from the ground up. Visa sponsorship is not available.

This is a Staff Software Engineer opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building the systems that analyse medical records to rank healthcare providers. It is a senior technical leadership position, setting direction for the team and raising the engineering bar across the organisation.

You’ll lead team-level technical strategy and execution over multi-quarter horizons, use AI to build, optimise and maintain software, and develop engineers around you. You’ll collaborate across disciplines to understand the domain and iterate on projects, and protect user privacy and security. The stack includes Python, TypeScript, React, Go, Airflow, dbt, Kubernetes and Claude Code.

The ideal candidate will have 6+ years’ software engineering experience, experience leading engineering teams with real influence on technical strategy, and a demonstrated ability to build complex systems with AI coding agents. A generalist mindset, a quick learning curve, a record of mentoring and familiarity with data security and HIPAA are expected. This is an in-office role in New York City, three days a week (Tuesday to Thursday), suited to a staff-level engineer who leads through technical judgement and example.

This is a Staff Software Engineer (Developer Experience) opportunity with a fast-growing US healthtech business that partners with employers to steer members towards higher-quality doctors and lower-cost care. The role sits in Engineering, on a team building the systems that analyse medical records to rank healthcare providers. It is a senior technical leadership position that sets team strategy and raises the technical level of engineers across the organisation.

You’ll set and execute team technical strategy over multi-quarter horizons, use AI to build, optimise and maintain software, and help other engineers work faster and better. You’ll collaborate across disciplines to understand the domain and iterate on projects, and protect user privacy and security. The stack includes Python, TypeScript, React, Go, Airflow, dbt, Kubernetes and Claude Code.

The ideal candidate will have 6+ years’ software engineering experience, experience leading engineering teams with impact on technical strategy, and a demonstrated ability to build complex systems with AI coding agents. A generalist mindset, a quick learning curve, a record of mentoring and familiarity with data security and HIPAA are expected. This is a remote US position with occasional travel to the New York headquarters, suited to a staff engineer who wants to shape how a whole engineering team builds.

This is an Analytics Engineering Lead opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role is an early hire on the Data team and focuses on marketing attribution, performance measurement and channel optimisation, blending analytics engineering with strategic insight. It offers a chance to help define the team’s long-term data vision.

You’ll own the analytics stack from raw data to models, dashboards and insights, lead proactive analyses with business stakeholders to find growth and efficiency levers, and design dashboards for a wide range of audiences. You’ll work with Engineering to validate and optimise pipelines, keep a single source of truth, and build a data-first culture through documentation and evidence-based decisions. The core stack is SQL, dbt and Fivetran.

The ideal candidate will have 5+ years’ analytics experience owning end-to-end work at a fast-paced, high-growth company, with clean, performant SQL, hands-on dbt and Fivetran, and a solid grasp of data modelling and ETL. They will explain complex analysis clearly to leadership and take a builder’s approach to ownership. The role is based in New York, with the Data team in the office two to three days a week, and suits someone who wants both technical depth and commercial influence.

This is an Engineering Manager (Operations) opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role leads Operations Engineering, a team of four to five engineers building the automation and exception-handling systems behind clinical and business operations, including billing, claims, eligibility and scheduling. It reports to a Senior Engineering Manager.

You’ll hire, coach and manage engineers while staying hands-on through architecture, coding, code reviews and on-call. You’ll partner with product, design and operations teams on roadmaps and sprints, set technical direction for reliability, observability and scalability, and build auditable systems that hold up under regulatory complexity.

The ideal candidate will have 6+ years’ professional software engineering experience and 2+ years of hands-on engineering management, with strong hiring and performance management skills and the product judgement to write PRDs and size opportunities. The stack is React, TypeScript, Node.js and PostgreSQL or similar. Experience with workflow platforms, automation, healthcare billing or claims, and regulated systems would be advantageous. There is a strong preference for New York City or San Francisco, and the role suits a hands-on manager who enjoys turning messy operational workflows into reliable software.

This is an Engineering Manager (Platform) opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role leads Platform Engineering, which owns the company’s infrastructure, reliability, scalability and developer velocity, and also covers architecture for patient and provider workflows and hardening shared LLM and RAG systems for production.

You’ll build, lead and grow a team of four to five engineers while staying hands-on through architecture, pair programming, code reviews and on-call. You’ll set the team’s vision and roadmap with engineering leads, security and IT, drive decisions on system design, observability and reliability, and report on platform health through uptime, incident response, infrastructure cost and time to production. You’ll also maintain the security and compliance posture, including auditable systems.

The ideal candidate will have 6+ years’ professional software engineering experience and 2+ years of engineering management, with the technical depth to contribute directly in TypeScript, Node.js, PostgreSQL and ECS on AWS or similar. Healthcare or regulated-industry experience, infrastructure as code, observability and incident leadership would be advantageous. There is a strong preference for New York City or San Francisco, and the role suits a hands-on platform leader who wants to build a team and a foundation for AI-enabled care.

This is an Analytics Engineering Manager opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role leads a team of analytics engineers across supply and demand, marketing and operations, and partners with leadership on key business questions. It combines analytics engineering, business insight and people management.

You’ll lead, develop and plan the work of the team and help hire, define and deliver the analytics roadmap across data modelling, BI and AI-enabled analytics, and lead analyses of ambiguous problems for senior stakeholders. You’ll work with Engineering to validate and optimise pipelines and keep a single source of truth, and build a data-first culture with clear documentation.

The ideal candidate will have 5+ years’ analytics experience owning work end to end at a fast-paced, high-growth company, plus 2+ years of leadership experience including setting technical direction. Strong SQL, hands-on dbt and Fivetran, and a solid grasp of data modelling and infrastructure are expected, along with the ability to turn ambiguous requests into structured roadmaps. The role is based in New York, with the Data team in the office two to three days a week, and suits a manager who wants to build a team as well as the analytics it delivers.

This is a Senior Backend Engineer opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role sits on an early-stage engineering team, helping to shape the core platform, owning major parts of the codebase and leading project delivery across product, design, engineering and analytics. It reports to the Engineering Manager of your pod (Operations or Platform).

You’ll build and ship features quickly without sacrificing quality, develop, release and maintain backend services and infrastructure, and improve the processes, tools and systems that let the codebase and team scale. You’ll take part in estimation and planning, collaborate on data-driven experiments, and write clean, well-tested, high-performance code.

The ideal candidate will have 5+ years as a backend-focused software engineer, ideally building high-performance internal platforms, and 3+ years with the core stack or a strong willingness to cross-train. The stack is TypeScript, Node.js, Prisma, PostgreSQL and AWS. They will take projects from idea to implementation independently, think from first principles and care about end-to-end product work. This is a hybrid position from the San Francisco office, with remote candidates also welcome, suited to an engineer who wants real ownership in a fast-growing company.

This is a Senior Full Stack Engineer opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role sits on the core platform, owning major parts of the codebase and leading project delivery with product, design, engineering and analytics. Your focus depends on the pod you join: Growth, Consumer or Care Delivery. It reports to the pod’s Engineering Manager.

You’ll design, build and ship product features while maintaining quality, improve the processes, tools and systems that let the codebase and team scale, and collaborate on data-driven experiments. You’ll contribute to estimation, planning and delivery of projects and integrations, maintain and improve the existing codebase, and write clean, well-tested, high-performance code.

The ideal candidate will have 5+ years as a software engineer with user-facing product experience, and 3+ years with the stack or a strong willingness to cross-train. The stack is React, TypeScript, Node.js, React Native, Prisma and PostgreSQL. They will want end-to-end ownership across design, coding, testing and deployment. This is a hybrid position from the San Francisco office, with remote candidates also welcome, suited to an engineer who wants to build consumer healthcare products at pace.

This is a Lead Data Scientist opportunity with a Series C US digital health business offering dietitian-led, insurance-covered metabolic health care across all 50 states. The role is embedded with the Product team and owns analytics across the patient lifecycle: how patients start care, stay engaged, churn and return. It combines product analytics, experimentation and predictive modelling in a marketplace setting.

You’ll define the metrics that guide the product roadmap, build and maintain production-ready models for churn, resurrection and targeting, and turn complex questions into clear recommendations with sized opportunities. You’ll design and analyse experiments, use causal inference where experiments are not feasible, partner with Product on prioritisation, and help build the experimentation methodology, standards and tooling used across the company.

The ideal candidate will have 6+ years’ experience in data science or product analytics, ideally at a consumer tech company or marketplace, with expert-level experimentation and causal inference, clean and performant SQL, and strong Python. They will communicate well enough to earn trust across functions and be motivated by the mission. The role is based in New York, with the Data team in the office two to three days a week, and suits a senior scientist who wants to shape how a product team uses data.

This is a Senior Software Engineer (Data Platform) opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. The role is a senior individual contributor who owns data platform workstreams end to end, building the pipelines and warehouse infrastructure that move healthcare data from source systems into production.

You’ll own workstreams from requirements through to production operation, build pipelines that handle idempotency, late-arriving data, backfills and failure recovery, and design extract infrastructure for EHR sources such as Epic Clarity and athenahealth. You’ll build curated, trusted data models, mentor peers, review designs, look after platform health (observability, access control and warehouse cost) and join the on-call rotation. The stack includes Snowflake, SQLMesh, Temporal, Python, AWS, Fivetran and Datadog.

The ideal candidate will have 5+ years’ experience building and operating production data systems, with end-to-end ownership of at least one non-trivial pipeline or platform component. Strong Python and advanced SQL are essential, along with hands-on experience of a modern warehouse (Snowflake preferred), an orchestrator such as Temporal or Airflow, and SQLMesh or dbt. Healthcare data experience (EHR, HL7/FHIR, claims, HIPAA) would be advantageous. This is a hybrid position in New York City, suited to an engineer who can explain where past designs broke under load and what they changed.

This is a Director of Data Science and Machine Learning opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. The role is a strategic technical leadership position that owns the development, implementation and governance of AI and machine learning across the company, sitting between data science, engineering, product and healthcare.

You’ll set and execute the AI and ML strategy, balancing long-term initiatives with quick wins in revenue cycle management, and lead and mentor the data science and machine learning teams. You’ll establish an AI governance framework covering healthcare regulation such as HIPAA and FDA requirements, design scalable production-ready architectures, drive MLOps practice for deploying and monitoring models, and quantify the customer value of AI solutions for Product, Engineering, Sales and Customer Success.

The ideal candidate will have 8+ years’ AI and ML experience, with substantial exposure to healthcare technology or clinical workflows and a proven record of taking models and products from concept to production in complex environments. Experience leading data science and engineering teams, translating technical capability into business value, and a working understanding of healthcare AI regulation and ethical AI principles are expected. The company is based in New York City, suited to a leader who combines technical depth with commercial judgement.

This is a Senior Data Scientist opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. The role works across the full modelling lifecycle, from exploratory analysis through to production, on real claims data, with strong ownership of the work and direct exposure to product and engineering.

You’ll build and deploy machine learning models for the company’s core analytics and intelligence features, run exploratory analysis on large claims datasets to find patterns and anomalies, and work with engineering to integrate models and data products into production. You’ll monitor model performance and iterate, share findings with product and customer-facing teams, and contribute to pipeline and warehouse work where needed. The stack includes Python, SQL, scikit-learn, XGBoost, AWS, SQLMesh, Temporal and MLflow.

The ideal candidate will have 8+ years in data science or applied machine learning with a track record of taking models to production. Strong Python and SQL, a solid grounding in statistics and ML fundamentals, cloud experience (AWS preferred) and MLOps practice including experiment tracking and model monitoring are expected. Experience with EHR or revenue cycle data, anomaly detection or recommendation systems would be advantageous. This is a hybrid position in New York City, suited to a senior scientist who wants to ship models rather than only prototype them.

This is a Data Platform Engineer opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. It is a growth role building and operating the pipelines that bring customer EHR data into Snowflake, plus the models that turn raw data into core business entities. Work is scoped with senior engineers, so the role suits someone who wants to learn a complex domain quickly.

You’ll build and maintain pipeline components within larger workstreams, write production Python and SQL for extracts, transformations and data quality checks, and contribute to core entity models while learning the revenue cycle domain. You’ll debug data quality and pipeline issues to root cause and join the on-call rotation with senior support. The stack includes Snowflake, SQLMesh, Temporal, Python, AWS and Datadog.

The ideal candidate will have 2+ years of software or data engineering experience with production code, solid Python and SQL fundamentals, and exposure to at least one part of the modern data stack such as a warehouse, orchestrator or transformation framework. Deep warehouse experience and healthcare domain knowledge are not required. Strong debugging instincts, openness to feedback and an interest in healthcare data matter more. This is a hybrid position in New York City, suited to an early-career data engineer looking for fast progression.

This is an Engineering Manager (Data Platform) opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. It is a player-coach role leading a team of four to six data platform engineers, owning the team’s roadmap, delivery and health while staying technically hands-on in a lean environment.

You’ll manage engineers through performance, growth and coaching, own the team roadmap with Product and the Head of Data, and set architecture direction with senior engineers. You’ll own hiring, run production reliability, SLAs, on-call health and warehouse cost, and partner with data science, forward-deployed engineering and customer-facing teams. You’ll also build lean processes and drive AI-native engineering practice. The stack includes Snowflake, SQLMesh, Temporal, Python, AWS, Fivetran and Datadog.

The ideal candidate will have 8+ years in data or backend engineering, including 2+ years managing engineers, and can still code well enough to pass a coding screen and discuss warehouse, orchestration and pipeline failure design. Production experience with Snowflake or similar, Temporal or Airflow and SQLMesh or dbt is expected, along with evidence of hiring and scaling a team. This is a hybrid position in New York City, suited to a manager who wants to stay close to the code at startup pace.

This is a Senior Full Stack Engineer opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. The role designs, builds and ships scalable web applications and backend systems, leads technical direction on complex projects and mentors junior engineers.

You’ll design and implement software across the stack, prototype and build web applications with complex interactions and reusable components, and build and maintain server-side applications, APIs and database systems. You’ll work with Product, Design, Customer Success and Sales on customer-facing features, lead projects as a systems design expert, and maintain code quality through testing and code review. The stack includes Python, FastAPI, TypeScript, React, PostgreSQL and Snowflake.

The ideal candidate will have 5+ years of full-stack engineering experience, strong Python and TypeScript with React, and a deep understanding of Python frameworks such as FastAPI. Strong systems design skills, experience scaling client-facing applications, CI/CD experience and good product sense for prioritising MVPs are expected. Health tech or analytics tool experience, AWS and Datadog would be advantageous. The company is based in New York City, and the role suits an engineer who is comfortable with ambiguity and ships quickly without losing long-term quality.

This is a Senior Infrastructure Engineer opportunity with a growing Series B New York health tech business that uses AI orchestration to improve revenue cycle management for healthcare providers. It is a hands-on individual contributor role that owns and scales the cloud platform, developer tooling and data infrastructure, and sets reliability, security and performance standards for products used by enterprise physician groups.

You’ll design and own secure, scalable cloud infrastructure using infrastructure as code and reusable modules, own the data infrastructure (Postgres, RDS and Aurora, Snowflake) including reliability, backups, disaster recovery and migrations, and build a self-service developer platform with CI/CD and ephemeral environments. You’ll set observability standards with Datadog, handle IAM, network security and PHI in a HIPAA and SOC 2 environment, and use AI-native tools such as Claude Code. The stack includes AWS, Terraform, Python, Docker, Temporal and GitHub Actions.

The ideal candidate will have 6+ years’ software engineering experience, including 3+ years in DevOps, platform engineering or cloud infrastructure, with a strong ownership mindset and experience building operational maturity. Experience in a regulated environment such as healthcare or finance, and familiarity with HIPAA and SOC 2 processes, are expected. The company is based in New York City, and the role suits an engineer who wants to build the platform others build on.

This is a Founding Principal Engineer opportunity with a Series A New York virtual mental health clinic for children, young adults and families. The role is the first senior engineer hired onshore, writing production code on core systems, setting engineering standards, directing an offshore team and leading AI adoption, working alongside the CEO on technical plans.

You’ll set technical direction and own architecture across telehealth, the EHR, therapist onboarding, the patient dashboard and AI usage, make build-versus-buy decisions, and write hands-on code on the hardest, highest-stakes problems. You’ll lead and mentor the offshore team, establish code review, testing, on-call and incident response practice, own the reliability and security of clinical systems including HIPAA and payor compliance, and hire the first onshore engineers. The stack is TypeScript across the stack, with Node.js, React and AWS.

The ideal candidate will have 8+ years building production software, including staff or principal-level experience, with deep full-stack skills from database schema to UI and a record of leading while staying hands-on. Experience with distributed or offshore teams, regulated or data-sensitive environments (healthcare is a plus) and a bias towards shipping with limited resources are expected. This is a hybrid position in New York City, three days a week in person, suited to an engineer who wants to build a technical function from the start.

This is a Business Intelligence Engineer opportunity with a Series A New York health tech business that builds patient engagement software for biopharma companies supporting people with chronic and rare diseases. The role owns business intelligence, building and maintaining the Sigma dashboards and dbt models behind embedded, in-product reporting, within an early-stage data engineering team that is shaping the data platform.

You’ll design, build and maintain dashboards and workbooks, develop tested dbt models and SQL transformations that produce documented reporting-ready datasets, and scope reporting needs with internal teams and clients, turning vague questions into clear dashboards. You’ll maintain a shared metrics layer with consistent definitions, and monitor replication and orchestrated pipelines, investigating data issues and adding upstream quality checks.

The ideal candidate will have 3 to 5 years in BI, analytics engineering or data engineering, with strong SQL and relational data modelling, experience building dashboards in a modern BI tool (Sigma, Looker, Tableau or similar) and production dbt experience. Experience deploying dashboards inside user-facing applications would be advantageous. This is an office-first role in New York City, with the posting asking about four days a week in the office, suited to an analyst-engineer who enjoys working directly with non-technical stakeholders.

This is a Senior Software Engineer opportunity with a Series A New York health tech business that builds patient engagement software for biopharma companies supporting people with chronic and rare diseases. It is a generalist role spanning backend and frontend, with the option to focus on particular parts of the stack depending on the team, and it carries ownership of large systems end to end.

You’ll lead the design, build and scaling of software for a growing product and customer base, own large projects and drive long-term technical vision, and work with Product, Design and Client Solutions to scope and deliver user-facing work. You’ll use AI and LLMs to move faster and to power product features, improve internal engineering systems such as testing, deployment and observability, take part in on-call, and mentor other engineers.

The ideal candidate will have 6+ years’ professional software engineering experience, expertise in at least one modern language such as TypeScript, Python or Go, and experience with relational databases, cloud infrastructure and distributed systems. A product-engineering mindset that balances quality, speed and user value is important. Node.js, React, GraphQL, AWS and Terraform are a bonus, as are healthcare experience and experience building LLM-powered products. This is an in-office role in New York City with occasional remote flexibility.

This is a Senior Software Engineer (Frontend) opportunity with a Series A New York health tech business that builds patient engagement software for biopharma companies supporting people with chronic and rare diseases. The role owns the frontend, including a shared design system, and makes the architecture decisions that let the team ship customer-facing features continuously.

You’ll build and evolve a shared UI design system of components, patterns and primitives, make frontend architecture decisions on state, data fetching, module boundaries and performance, and scope and ship customer-facing features end to end with product and design. You’ll improve testing, tooling, deployment and observability, use LLM-assisted development, take part in on-call and mentor engineers.

The ideal candidate will have 6+ years’ professional software engineering experience with React and TypeScript, proven ownership of a UI design system, experience with end-to-end testing tooling and strong UX instincts. Comfort with ambiguity and early-stage ownership is important. GraphQL, Playwright, Tailwind, building LLM-integrated features and health tech experience would be advantageous. This is an office-first role in New York City, with in-person collaboration four days a week, suited to a frontend engineer who wants to define how a product looks and behaves.

This is a Software Engineer opportunity with a Series A New York health tech business that builds patient engagement software for biopharma companies supporting people with chronic and rare diseases from diagnosis through therapy. It is a generalist role across backend and frontend, with the chance to specialise depending on the team, and ownership of projects from scoping through rollout.

You’ll design, build and scale software for a growing product and customer base, use AI and LLMs to speed up work and power product features, and own projects with Product, Design and Client Solutions from scoping and design through implementation. You’ll also improve internal engineering systems such as testing, deployment, observability and agentic coding, and take part in on-call for production systems.

The ideal candidate will have 3+ years’ professional software engineering experience with a modern language such as TypeScript, Python or Go, experience developing software for cloud environments and a product-engineering mindset that balances quality with speed. They will be self-directed with a strong desire to learn. Health tech experience, early-stage experience, use of agentic coding tools and experience operating LLM-powered products would be advantageous. This is an onsite role in New York City, four days a week.

This is a Staff Software Engineer opportunity with a Series A New York health tech business that builds patient engagement software for biopharma companies supporting people with chronic and rare diseases from diagnosis through therapy. The role leads the design and development of new features for the core products and improves the speed and reliability of existing applications.

You’ll lead design and development of new features, improve the performance and reliability of what is already live, work with colleagues to identify new product opportunities, and help scale the company, its culture and its products. The posting centres on AWS, including DynamoDB, API Gateway, SES and Cognito, with serverless architecture, JavaScript, TypeScript, GraphQL and Node.js as further strengths.

The ideal candidate will have a BS or MS in computer science or a related field and 12+ years of professional experience, with strong object-oriented programming skills and high code-quality standards. Experience designing sustainable, scalable infrastructure on AWS, a preference for simple solutions to complex problems and a track record as an independent self-starter are expected. Healthcare application experience and experience leading delivery of complex systems to production would be advantageous. This is an in-office role in New York City with occasional remote flexibility.

This is a Platform Engineer opportunity with a New York health tech business whose platform uses AI extraction models to process millions of clinical documents each month. The role is a hybrid of backend product engineering and infrastructure, owning the cloud infrastructure, deployments and CI/CD for a multi-tenant platform that runs across customer and company cloud environments, including GPU infrastructure for model serving.

You’ll build backend services such as document pipelines, application logic and platform features, own cloud infrastructure and deployment pipelines in company and customer environments on AWS and Azure, and manage Kubernetes clusters, containerised services, releases and GPU nodes. You’ll build monitoring and observability to catch pipeline failures and data quality regressions early, debug production issues across application and infrastructure layers, and work with a largely offshore engineering team on architecture, code review and stability.

The ideal candidate will have 3+ years as a platform or infrastructure engineer at a startup or growth-stage company, strong backend engineering skills and working knowledge of cloud (AWS or Azure), Kubernetes, Docker, CI/CD, networking and monitoring. The ability to switch between product coding and operations work is important. Experience with data-heavy applications, ML model serving and GPU infrastructure would be advantageous. This is a hybrid position in New York City, suited to an engineer who wants a broad remit in a small team.

This is a Senior AI Engineer opportunity with a Series B health tech business building an AI doctor that offers free AI consultations and low-cost physician visits. The role blends research and engineering to improve how the AI doctor reasons, learns, retrieves evidence and is evaluated, and it affects clinical decisions directly.

You’ll design agentic clinical reasoning architecture, including verification, tool use, routing and escalation, build evaluation platforms, rubrics and simulations, and apply fine-tuning, distillation, reinforcement learning and preference optimisation. You’ll also build the search, retrieval and grounding systems tied to clinical decisions. No specific stack is listed; the work centres on LLMs, reinforcement learning and retrieval methods.

The ideal candidate will have either an advanced degree and 3+ years of applied or research AI and ML experience, or 7+ years building ML systems with recent LLM work. Deep experience in at least two of agentic and reasoning systems, evaluation and rubric design, model training and reinforcement learning, or search and RAG is expected, alongside strong ML fundamentals and engineering skills. Published research, early-stage experience and clinical AI knowledge (HIPAA, FHIR, EHR, HL7) would be advantageous. This is a hybrid position in New York City or San Francisco.

This is a Senior Data Engineer opportunity with a Series B health tech business building an AI doctor that offers free AI consultations and low-cost physician visits. It is the company’s first dedicated data engineer, owning the movement of data from production systems into the lakehouse and warehouse, its transformation into trusted documented tables, and access control, for AI engineering, product, finance, partnerships and data teams.

You’ll build monitored change-data-capture pipelines from production databases into an S3 and Iceberg lake and Snowflake, set up a version-controlled transformation layer such as dbt for core metrics like visits, bookings, revenue and retention, and select and implement orchestration with failure alerting. You’ll design and enforce patient data access controls, including row and column-level PHI restrictions, anonymisation pipelines and HIPAA Safe Harbor compliance, and support the AI team’s model training data needs. Sources include MariaDB, PostgreSQL and MongoDB.

The ideal candidate will have 5+ years of data engineering experience, including end-to-end ownership of production data platforms, strong SQL and Python, and experience building and running ELT and CDC pipelines. Hands-on experience with a lakehouse and warehouse stack (S3, Iceberg, Snowflake or equivalent), orchestration and transformation frameworks, and solid AWS fundamentals are expected. HIPAA and PHI governance experience and having been the first data engineer at a startup would be advantageous. This is a hybrid position in New York City.

This is a Senior Product Engineer (Full Stack) opportunity with a Series B health tech business building an AI doctor that offers free AI consultations and low-cost physician visits. The role ships patient, clinician and partner features, working in an AI-native way with coding agents day to day.

You’ll build patient experiences for onboarding, AI consultations, records, prescriptions and follow-up, connect AI consultations to clinical workflows, and build tools and integrations for clinicians and healthcare partners. You’ll improve performance, accessibility, privacy and reliability, and review usage and feedback after launch. The stack includes Next.js, React and TypeScript, Swift and Kotlin for native apps, Python and FastAPI, MariaDB, Redis, and Docker on AWS ECS, with FHIR-based workflows.

The ideal candidate will have a record of shipping user-facing products across frontend and backend, strength in one part of the stack with working knowledge of the rest, and the ability to define solutions when requirements are incomplete. Daily experience directing coding agents and automating repeated work is expected, along with sound judgement on privacy, security and accessibility. Many successful candidates will have 5+ years’ experience, and healthcare, fintech or other regulated-field experience would be advantageous. This is a hybrid position in New York City or San Francisco.

This is a Senior Platform Engineer opportunity with a Series B health tech business building an AI doctor that offers free AI consultations and low-cost physician visits. The role improves the systems used to build, deploy, observe and operate the product, including the environment in which engineers and coding agents make and validate changes.

You’ll improve the reliability of production services on AWS ECS, build shared infrastructure, service templates and delivery workflows, and improve local development, CI, testing and deployment. You’ll make repositories and documentation ready for coding agents, add guardrails for agent-produced changes, automate recurring work such as service setup and incident triage, and provide logs, metrics and alerts. You’ll also set standards for incident response and recovery, build security and compliance controls into delivery, and track infrastructure cost. The stack includes AWS, Terraform, GitHub Actions and CloudWatch.

The ideal candidate will have experience building and operating production systems on AWS, with strong knowledge of containers, infrastructure as code, CI/CD, networking and observability, and daily experience with coding agents. Many candidates will have 5+ years of relevant experience, and experience with AI infrastructure, regulated systems or high-traffic applications would be advantageous. This is a hybrid position in New York City or San Francisco.

This is an Engineering Manager (Platform) opportunity with a Series B health tech business building an AI doctor that offers free AI consultations and low-cost physician visits. The role leads the platform engineering function that underpins the company’s production services, delivery workflows and developer environments, in a business that handles sensitive patient data and builds AI-native engineering practice.

The posting gives limited detail beyond the title, but the platform team’s remit includes the reliability of production services on AWS, shared infrastructure and delivery tooling, and the security, privacy and compliance controls that apply to patient data. Expect to lead platform engineers, set standards for reliability and incident response, and work closely with product, AI, data and security engineers.

The working environment is AI-native, with engineers and coding agents making changes to production systems under guardrails. This is a hybrid position in New York City or San Francisco, suited to an engineering leader who has run a platform or infrastructure team on AWS and wants to shape engineering practice in a regulated, fast-moving setting. Confirm team size, reporting line and level with the hiring team before submitting candidates.

This is a Staff Backend Engineer (Data Platform) opportunity with a digital olfaction company whose mission is to give computers a sense of smell. The role is a senior backend hire to strengthen a team that is currently junior. It is backend-focused with a data component, centred on robustness and reliability rather than raw scale.

You’ll own backend systems through the API layer, including the complexity beneath the contract, and take on monitoring and on-call responsibility. You’ll build for failure by handling long-running requests and calls to external systems with real recovery paths, lay foundations for future scale without premature optimisation, and do user-oriented data work as a backend engineer. You’ll also bring structured problem solving, scope the first chunk of large ambiguous problems before coding, and mentor the team.

The ideal candidate will have 6 to 15 years of experience at staff level, with real ownership of system and workflow design and of production systems, including on-call. Python and SQL are the baseline, with TypeScript, Go or Scala a plus. The posting lists the company’s locations as Elizabeth, New Jersey and Somerville, Massachusetts, and asks for candidates based in the New York and New Jersey area. The role suits an engineer who enjoys raising the bar of a young team.

This is a Head of Applied AI opportunity with a digital olfaction company whose mission is to give computers a sense of smell. The role leads the team that builds the company’s Olfactory Intelligence models, which predict odour for molecules and mixtures and generate formulas from creative briefs. It is a hands-on leadership seat at a company of roughly 100 people.

You’ll lead machine learning engineers and research scientists, set the roadmap and quality bar, and own the path from research notebook to production API. You’ll work daily with Software Platform, Product Engineering, Chemistry and Sensory Science, and with the perfumers and evaluators who provide ground truth for predictions, and you’ll be responsible for meeting contractual accuracy gates with enterprise partners. The team works from large proprietary datasets, including millions of human sniff annotations and mass spectral readings.

The posting does not state years of experience, but it expects a technical leader who will read code and run experiments and who reports to the CTO. This is a Boston-based role in the sheet, though the company’s listed locations are in New Jersey and Massachusetts, so confirm the location before approaching candidates. It suits a research-minded ML leader who wants to take models from lab to product.

This is a Software Engineer opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role is a full-stack position that builds the foundation of the platform, owns projects from definition through launch and impact, and works directly with customers in client engagements.

You’ll own product areas and roadmaps and drive zero-to-one product development, build features across front end, back end, system design, debugging and testing, and improve engineering processes and tools. You’ll also automate complex insurance, affordability and fulfilment workflows using AI and machine learning, RPA and scraping, and state machines. The stack includes Python, React, TypeScript, PostgreSQL and Kubernetes.

The posting does not state years of experience, but asks for strong programming skills and computer science fundamentals, plus experience at fast-growing, product-driven companies. A record of moving quickly and delivering on goals matters, and candidates who do not meet every point are encouraged to apply. This is an in-person role at the company’s SoHo office in New York City, suited to an engineer who wants broad ownership and customer exposure at an early stage.

This is a Data Scientist opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role defines, predicts and drives the company’s core metrics, combining advanced analytical modelling with end-to-end ownership of strategic projects, and works directly with the CEO and leadership team.

You’ll drive projects such as go-to-market analysis, prediction of workflow throughput and bottlenecks, and prototyping of AI models with engineering. You’ll build externally facing data products for key partners, take part in priority client engagements, and establish the core data sources and metrics that support real-time analysis across the company. Strong SQL and Python are the core tools.

The ideal candidate will have an advanced degree in a quantitative field or 4+ years in an analytics-heavy, business-focused role, with strong SQL and Python and the ability to pick up new tools quickly. This is an in-person role at the company’s SoHo office in New York City, suited to a scientist who wants close exposure to leadership and the commercial side of the business.

This is a Data and Analytics Engineer opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role builds the data foundation for how the company operates, measures and grows, designing and maintaining core data models, pipelines and reporting infrastructure, and helping define analytics engineering practice.

You’ll build core data models for internal analytics and client-facing insights, design and operate pipelines that turn raw sources into analytics-ready tables, and create dashboards and reporting tools for product, operations and go-to-market teams. You’ll define and enforce metric consistency, improve and scale the analytics stack, and translate stakeholder needs into reliable systems. The stack centres on BigQuery, Dataform, Fivetran and Postgres, with familiarity with dbt, Airflow and Metabase also listed.

The ideal candidate will have 3 to 6 years in data engineering, analytics engineering or a technical data analyst role with production ownership, with expert SQL and a code-first approach covering versioning, testing and documentation. Strong data modelling judgement and clear communication are important. This is an in-person role at the company’s SoHo office in New York City, suited to an engineer who wants to build a data function from an early stage.

This is a Research Engineer opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role builds and ships production LLM and machine learning systems that solve business problems across insurance coverage, affordability programmes, fulfilment and biopharma partner services, with end-to-end ownership from definition to measured impact.

You’ll scope and lead AI projects such as classification, data extraction and summarisation, reference-based question answering, outcome prediction and workflow triggering, choose between open-source, proprietary and fine-tuned models, and design experiments and evaluation protocols. You’ll develop new techniques in NLP, data extraction and autonomous reasoning, automate branching workflows with a mix of ML and RPA, and build predictive and simulation models for biopharma partners. Tools include PyTorch, TensorFlow or JAX.

The posting does not state years of experience. It asks for strong programming and computer science fundamentals, a research background in ML or NLP shown through top-tier publications or significant open-source work, and experience deploying complex ML systems in production, with deep knowledge of transformers and multimodal models. This is an in-person role at the company’s SoHo office in New York City, suited to a researcher who wants their work in production.

This is a Software Engineer (Developer Productivity) opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role owns the systems that set how fast the engineering team ships, including CI/CD, build systems, development environments and the infrastructure that lets AI coding agents work in the codebase.

You’ll own CI/CD, deployment automation, build systems and development environments to shorten the path from commit to production, build infrastructure for coding agents such as sandboxed execution and CI that validates agent-generated changes, and build internal tooling for refactors, migrations, dependency upgrades and test generation. You’ll drive company-wide adoption of agentic development through golden paths and standards, build evaluation and guardrail systems, and track metrics such as CI health, deploy frequency and agent-merge success.

The posting does not state years of experience. It asks for experience building developer tooling, internal platforms or CI/CD infrastructure, strong Python and Bash skills, hands-on experience with agentic development tools such as Claude Code and Codex, and a record of changing how people work. This is an in-person role at the company’s SoHo office in New York City, suited to an engineer who wants to multiply the output of a whole team.

This is a Software Engineer (Platform and Infrastructure) opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role owns the compute and data foundations the company runs on, including the EKS platform, the data layer, cloud reliability and infrastructure cost, and makes architecture decisions meant to last for years.

You’ll own the compute platform, covering container orchestration, networking, autoscaling and ingress, own the performance and reliability of the data layer across Postgres, OpenSearch and BigQuery, and build cost attribution to drive savings across compute, data and storage. You’ll define platform reliability through SLOs, capacity planning, observability and incident response, and build infrastructure as code and self-serve primitives so product teams can run services safely.

The posting does not state years of experience. It asks for production Kubernetes experience at meaningful scale, deep AWS expertise (EKS, VPC, IAM) with Terraform, experience running a low-downtime database migration, and comfort in a regulated environment, where PHI, HIPAA or SOC 2 familiarity is a plus. This is an in-person role at the company’s SoHo office in New York City, described as demanding, with high autonomy and responsibility.

This is an Engineering Manager opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients, supporting providers across most US ZIP codes. The role is a technical player-coach position leading an engineering team, writing and reviewing code, making architecture decisions and owning hiring, development and whether the team’s work delivers business results.

The company is hiring across three areas: Provider Product and Growth, the core product used by providers and their staff; Core Platform and Automation, covering long-running workflows, integrations, data and AI agent subsystems; and Life Sciences Engineering, building products with biopharma partners. You’ll own team outcomes from problem definition through launch, stay hands-on in production code, recruit and onboard engineers, give clear and direct feedback, and drive how the team uses AI in development.

The ideal candidate will have 6+ years building software that real users depend on, 2+ years leading engineers, full-stack experience, a record of recruiting strong engineers and the ability to turn ambiguous business problems into shipped solutions. This is an in-person role at the company’s SoHo office in New York City, suited to a hands-on manager who wants to build a team at pace.

This is a Software Engineer (Provider Growth) opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role sits in the Provider Product and Growth area, which builds the core product used by providers and their staff and focuses on adoption, engagement and growth.

The posting gives limited detail beyond the title and team description, so confirm scope with the hiring team before submitting candidates. Based on the team’s remit, expect full-stack product work on the provider-facing application, driven by growth and engagement metrics, in a company that automates the steps between a prescription and a patient starting treatment. The company works with Python, React, TypeScript and PostgreSQL across its engineering teams.

The company asks its engineers for strong programming fundamentals, a record of moving quickly and delivering on goals, and strong references from former teammates. This is an in-person role at the company’s SoHo office in New York City, suited to an engineer who wants direct influence on a product used by providers every day.

This is an AI Platform and Enablement Lead opportunity with a New York AI-powered network that connects doctors, pharmacies, payers and biopharma to speed new treatments to patients. The role leads the AI platform and enablement work for the Operations team, building and running the team’s internal AI workspace, improving AI output quality and helping the team adopt AI effectively.

You’ll build and own the Operations team’s AI workspace, including access and integrations with daily tools, maintain a central knowledge base, skills library and scheduled automations, and test new models on real operations use cases, scaling the ones that work. You’ll work with operations teams to find high-value workflows to automate, standardise evaluation and monitoring with engineering, train and onboard team members, and partner with data and engineering on a prompt engineering and backtesting platform and a curated data layer.

The ideal candidate will have 5 to 10 years as a product manager, optimiser or builder, with daily hands-on use of the modern AI stack including agents, tool integrations, prompt and context engineering and evals. Comfort across APIs, integrations and data, strong business acumen and a focus on measurable results such as hours saved are expected. This is an in-person role at the company’s SoHo office in New York City, and it is closer to AI operations than to core software engineering.

This is a Senior Fullstack Software Engineer opportunity with a Seed-stage US health data company that runs a patient-controlled platform, aggregating people’s health records and turning them into research-ready datasets for biopharma. The role builds and improves the company’s products end to end, from design through deployment and maintenance, and the title can flex to principal, lead, staff or senior depending on the candidate.

You’ll design and ship scalable software with cross-functional teams, own features from concept through maintenance, set testing and deployment practices, and turn product and design input into technical specifications. You’ll take part in the on-call rotation. The stack is Next.js, Node.js, PostgreSQL and Google Cloud.

The ideal candidate will have a bachelor’s degree in computer science or equivalent and 5+ years in software development, including at least 2 in a startup, with proficiency across Next.js, Node.js, PostgreSQL and Google Cloud or similar. Digital health experience is a strong plus. This is a remote US position with a secondary location in New York City, suited to a senior engineer who wants broad ownership of a product at an early stage.

This is a Senior Backend Engineer opportunity with a Seed-stage US health data company that runs a patient-powered real-world data platform, helping people access their longitudinal health records and supplying insights to pharma. The role builds backend services and data pipelines for healthcare data and integrates LLM-based AI features.

You’ll develop high-volume data processing pipelines, integrate and optimise LLM components, and build observability including monitoring, logging, alerting and autoscaling. You’ll work with frontend, data and AI teams. The stack involves Python, Node.js or Java, a major cloud (AWS, GCP or Azure), relational databases and LLMs.

The ideal candidate will have a bachelor’s degree in computer science or equivalent and 5+ years in backend development, including distributed systems, with strong skill in Python, Node.js or Java, experience with REST APIs, microservices and relational databases, and at least 2 years in a startup. Message queues, data streaming, vector databases, RAG tooling, FHIR and healthcare interoperability would be advantageous. This is a remote US position, suited to a backend engineer who wants to work on health data at scale.

This is a Senior Machine Learning Engineer (Platform) opportunity with a Seed-stage US health data company that runs a patient-powered real-world data platform. It is the first ML hire, owning the technical side of a multi-quarter effort to extract structured features from unstructured clinical text such as notes, discharge summaries, pathology reports and scanned faxes. The work is roughly 70% applied ML on clinical text and 30% LLM-based. The role reports to the Head of Platform Engineering.

You’ll own the full model lifecycle from framing and annotation strategy through deployment and retraining, define accuracy targets with stakeholders and build the evaluation harness, and partner with Clinical Data Managers on quality control and human-in-the-loop review. You’ll build clinical NLP pipelines with backend engineers and treat PHI handling, de-identification and audit trails as part of the modelling work.

The ideal candidate will have 6+ years in applied ML with models taken to production, and real healthcare or life sciences experience with clinical data, which the posting says is not negotiable. Depth in text extraction, named entity recognition, classification and sequence labelling, practical LLM experience and strong Python fundamentals are expected. Knowledge of clinical terminologies such as SNOMED CT, ICD-10, LOINC and FHIR, and OCR experience, would be advantageous. This is a remote US position.

This is a Senior Product Analytics Engineer opportunity with a Seed-stage US health data company that runs a patient-powered real-world data platform, helping people access their health records and supplying longitudinal insights to biopharma. The role owns product analytics: deciding what to measure, instrumenting it and building the data models and dashboards behind product and growth decisions, as a data partner to product and design. It reports to the Manager, Data and Analytics.

You’ll join roadmap and feature scoping discussions, audit event tracking and work with engineers to close gaps, and build and document dbt models for product, growth and operational reporting. You’ll build dashboards and self-serve tools, track engagement, retention and activation, and coordinate with the clinical and research analytics engineers on shared standards. The stack includes BigQuery, dbt, Stitch, Hex and Mixpanel.

The ideal candidate will have 4+ years in analytics engineering or a related data role, experience at a consumer-facing company and a startup, strong SQL and dbt, hands-on Mixpanel experience, and a strong grasp of funnel, cohort and retention analysis and A/B testing. Healthcare experience, FHIR familiarity and mobile analytics instrumentation would be advantageous. This is a role based in New York City or remote within the US.

This is a Staff Integrations Engineer opportunity with a Series A US healthcare data platform that brings fragmented patient information together so it is complete, current and actionable. The role is a hands-on individual contributor position combining software engineering with solution delivery, owning technical strategy for complex customer integrations and acting as a senior technical adviser to customers.

You’ll own delivery of integrations such as state health information exchange and ADT feeds from scoping through production support, design data pipelines for ingestion, transformation and delivery, and build roster management workflows. You’ll architect data transmission over APIs, SFTP and event-driven systems, build automated quality and validation frameworks, advise customers on integration design and interoperability, and build monitoring, alerting and internal tooling.

The ideal candidate will have 7+ years in software, integrations or forward-deployed engineering, strong programming in Python or Go, and experience with healthcare interoperability standards including HL7, FHIR, ADT and CDA. Strong SQL on large messy datasets, the ability to debug distributed systems end to end, customer-facing communication skills and AI-native development experience are expected. This is a remote US position within the Solutions and Forward Deployed Engineering team.

This is a Full Stack Developer opportunity with a New York virtual healthcare company whose mission is to make high-quality healthcare accessible to everyone, wherever they are. The role joins a team of five full-time engineers and works closely with the founder and CEO, who oversees product. The focus is iterating quickly on an early product so it can scale to more users, and the role may grow into leadership based on performance.

You’ll work across front-end and back-end development, take part in or lead system architecture and DevOps decisions, attend daily standups and weekly sprint meetings, and deliver against an aggressive product roadmap. The posting names TypeScript and a modern tech stack.

The ideal candidate will have 1+ year of engineering experience at an early-stage, high-growth startup, with the preferred range 1 to 5 years, and experience with TypeScript. They will be resourceful, ownership-minded and comfortable in a fast-paced environment. This is an on-site role in New York City, in person four days a week, with no remote or hybrid option stated. Note that the posting dates from September 2025, so confirm it is still open.

This is a Mobile Engineer (React Native) opportunity with a New York virtual healthcare company whose mission is to make high-quality healthcare accessible to everyone, wherever they are. The role starts as a React Native engineer on a team of five full-time engineers, working with the founder and CEO on product and the Senior Medical Director on clinical needs.

You’ll build the iOS and Android mobile app, using the existing mobile-friendly web app and design work as the starting point, and possibly build the first version with little support from other engineers. You’ll take part in daily standups and weekly sprint meetings and deliver against an aggressive product roadmap, with the potential to move into a leadership role as the organisation grows.

The ideal candidate will have 1+ year in an engineering role at an early-stage, high-growth startup, with the preferred range 1 to 5 years, and experience with TypeScript and React Native. They will be resourceful, ownership-minded and curious. This is an on-site role in New York City, in person four days a week, with no remote or hybrid option stated. Note that the posting dates from September 2025, so confirm it is still open.

This is a Senior Full Stack Engineer opportunity with a New York virtual healthcare company whose mission is to make high-quality healthcare accessible to everyone, wherever they are. The role joins a team of five full-time engineers and works closely with the founder and CEO. The focus is iterating on an early-stage product so it can scale, and the role may grow into leadership over time.

You’ll build across front-end and back-end, take part in or lead system architecture and DevOps decisions, attend daily standups and weekly sprint meetings, and deliver against an aggressive product roadmap. The posting names TypeScript and a modern tech stack without listing further tools.

The ideal candidate will have 3+ years of engineering experience at an early-stage, high-growth startup, though the posting also states a preferred range of 1 to 5 years, so the seniority bar is unclear. Strong TypeScript experience, an ownership mindset and comfort in a fast-paced environment are expected. This is an on-site role in New York City, in person four days a week, with no remote or hybrid option stated. Note that the posting dates from September 2025, so confirm it is still open.

This is a Software Engineering Manager opportunity with a New York virtual healthcare company building a telemedicine platform to make high-quality care accessible wherever people are. The role is a hands-on engineering manager who writes code while leading a team of full-stack engineers, and it reports directly to the CEO.

You’ll code hands-on while managing engineers, grow the team from about five to ten or more full-stack engineers, improve platform performance and user experience, and lead architecture decisions for the telemedicine platform. You’ll mentor engineers, run code reviews and enforce standards, identify and mitigate security risks, and work with product, design, QA and executive leadership.

The ideal candidate will have prior experience at an early-stage startup, preferably in healthcare, with strong skills in TypeScript, JavaScript and React. Supabase experience is preferred, along with demonstrated technical leadership and player-coach experience. The posting does not state years of experience. This is an on-site role in New York City, in person four days a week, and the posting notes that the culture often runs beyond standard hours. The posting dates from September 2025, so confirm it is still open.

This is a Senior Software Engineer (Full Stack) opportunity with a New York healthcare company building software that coordinates at-home care among providers, payors and patients, with the mission of hospital-quality care everywhere. It aims to replace fax and phone-based coordination with modern infrastructure.

You’ll build software for hospitals and patients, work closely with customers and internal teams to define what to build, and solve complex technical and product problems. You’ll build prototypes quickly with a plan to make them robust over time, work independently on complex issues, and collaborate with non-engineering stakeholders. The stack includes Python, TypeScript, Flask, React, Apollo GraphQL, Postgres, Airflow and AWS.

The ideal candidate will have at least 5 years of experience building, shipping and maintaining full-stack applications in production, with proficiency in backend (Python or TypeScript) and frontend (React or Vue) development and strong SQL skills. The posting lists an advanced degree in computer science or a related field and the ability to explain complex concepts to technical and non-technical audiences. This is a hybrid position with four days a week in the New York City office or the San Francisco hub; remote applications are not accepted and visa sponsorship is not offered.

This is a Staff Software Engineer (Full Stack) opportunity with a New York healthcare company building software that coordinates at-home care among providers, payors and patients, with the mission of hospital-quality care everywhere. It aims to replace fax and phone-based coordination with modern infrastructure.

You’ll build software for hospitals and patients, work closely with customers and internal teams to define what to build, and solve complex technical and product problems. You’ll build fast prototypes with a path to robust systems, work independently on complex issues, and partner with non-engineering stakeholders. The stack includes Python, TypeScript, Flask, React, Apollo GraphQL, PostgreSQL, Airflow and AWS.

The ideal candidate will have at least 7 years of experience building, shipping and maintaining full-stack applications in production, with proficiency in backend and frontend development and strong SQL skills. The posting lists an advanced degree in computer science or a related field and the ability to explain complex technical concepts clearly. This is a hybrid position with four days a week in the New York City office; NYC residence or willingness to relocate is required, remote applications are not accepted and visa sponsorship is not offered.

This is a Software Engineer (Full Stack) opportunity with a New York healthcare company building software that coordinates at-home care among providers, payors and patients, with the mission of hospital-quality care everywhere. It is the junior-level version of the company’s full-stack role, building and maintaining applications for hospitals and patients.

You’ll build software for hospitals and patients, develop creative solutions to technical and product problems, and build fast prototypes with a plan to make them robust over time. You’ll work independently on complex issues and collaborate with non-engineering stakeholders and customers to define requirements. The stack includes Python, TypeScript, Flask, React, Apollo GraphQL, PostgreSQL, Airflow and AWS.

The ideal candidate will have at least 1 year of experience building, shipping and maintaining full-stack production applications, with proficiency in backend (Python or TypeScript) and frontend (React or Vue) development and strong SQL skills. The posting lists an advanced degree in computer science or a related field. This is a hybrid position with four days a week in the New York City office or the San Francisco hub; remote applications are not accepted and visa sponsorship is not offered.

This is a Senior Data Engineer opportunity with a New York healthcare company building software that coordinates at-home care among providers, payors and patients. It is a zero-to-one role building the data infrastructure for the business, owning the data architecture behind product and operations.

You’ll design, build and manage pipelines that ingest and integrate data from multiple sources, develop data models for business operations, executive reporting and analytics, and improve architecture and storage for performance, cost and both batch and real-time workloads. You’ll ensure data accuracy, quality and compliance through governance and monitoring, and own the reliability and evolution of production data products. The stack includes SQL, Python, Fivetran, Airbyte, dbt and Snowflake, BigQuery or Redshift.

The ideal candidate will have 4+ years in data engineering, analytics engineering or data architecture, with strong SQL and Python, experience designing and scaling end-to-end data infrastructure, and a solid grasp of data modelling, governance, privacy and observability. Leading data platform decisions, platform migrations and healthcare or HIPAA-regulated data experience would be advantageous. This is a hybrid position in New York City, four days a week in the office.

This is a Staff Data Engineer opportunity with a New York healthcare company building software that coordinates at-home care among providers, payors and patients. The role owns and scales the Snowflake-based data platform, builds reliable source pipelines, and acts as the technical authority on data infrastructure.

You’ll own the Snowflake platform end to end as usage grows, own the reliability and expansion of source pipelines including freshness SLAs, schema drift and new integrations, and lead pipeline incident response with a focus on preventing recurrence. You’ll ensure data accuracy and compliance through governance and observability, improve architecture and storage for performance and cost, and set standards for the wider team. Tools include Snowflake, dbt, Python, Fivetran, Airbyte, PostgreSQL on RDS and AWS.

The ideal candidate will have 8+ years in data, database or software engineering, including end-to-end ownership of production data infrastructure, with deep Snowflake expertise covering configuration, access control, cost and performance tuning. Expert SQL, dbt and Python, change-data-capture and connector experience and AWS fluency are expected. Platform migrations, healthcare or HIPAA data, Terraform and deep PostgreSQL skills would be advantageous. This is a hybrid position in New York City, four days a week in the office.

This is a Senior Fullstack Engineer opportunity with a Series A US healthtech business whose AI platform gives hospitals end-to-end visibility into their supply chain, automating workflows and surfacing insights. The role builds the end-user features used by hospital supply chain teams, owning work from concept through to production across backend and frontend.

You’ll design, build and maintain backend APIs and frontend components, iterate on customer feedback, write well-tested code across the stack, and work with product managers and customers on requirements. You’ll also take part in code reviews and architecture decisions. The stack is Python, React, TypeScript, REST APIs and SQL, with FastAPI and AWS as nice-to-haves.

The ideal candidate will have 5+ years’ relevant experience, strong Python, strong experience designing and consuming RESTful APIs, and strong React and TypeScript. Self-motivation, good problem-solving and clear communication are expected, and healthtech and startup experience would be advantageous. This is a fully remote US position, suited to a full stack engineer who wants to build software for hospital operations.

This is an Engineering Tech Lead opportunity with a Series A US healthtech business whose AI platform gives hospitals end-to-end visibility into their supply chain. It is an individual contributor leadership role with no people management, setting technical direction for the team’s projects while staying hands-on in production code.

You’ll lead system design, architecture and technical direction, write production code, and mentor engineers through code review and pairing. You’ll partner with Product on technical plans, spot technical risk, tech debt and cross-team dependencies early, and set engineering standards and tooling. The stack is Python, React and TypeScript, with AWS, SQL and data pipeline work as nice-to-haves.

The ideal candidate will have 6+ years of software engineering experience, including leading technical direction on a team, with deep hands-on production experience in Python, React and TypeScript. A record of sound architecture decisions in fast-moving environments, mentoring experience and strong communication are expected. Healthcare, supply chain or regulated-domain experience would be advantageous. This is a fully remote US position, suited to a senior engineer who wants technical leadership without managing people.

This is a Staff Data Engineer opportunity with a Series A US healthtech business whose AI platform gives hospitals end-to-end visibility into their supply chain. The role sets technical direction for the data platform on AWS, covering ingestion, transformation, storage and serving, and works with sensitive hospital operational data.

You’ll build batch and near-real-time pipelines with SLAs and observability, model supply chain data from external hospital ERP systems into a reusable warehouse, and migrate legacy assets into it. You’ll tune performance and cost across Postgres and Snowflake, set data engineering standards, partner with analytics and product teams on durable data models, and lead governance for sensitive data including lineage, access, retention, auditability and de-identification.

The ideal candidate will have 8+ years in data or software engineering, including end-to-end ownership of production systems. Expert SQL (including query plan analysis), strong Python, deep experience with Postgres and Snowflake, hands-on orchestration experience (Airflow, Dagster, Prefect, dbt, Fivetran, Spark or Kafka) and production AWS experience are expected, along with a record of leading multi-quarter, cross-team initiatives. Healthcare data (claims, EHR, HL7/FHIR) and ERP data experience would be advantageous. This is a fully remote US position.

This is a Data Integration Engineer opportunity with a Series A US healthtech business whose AI platform gives hospitals end-to-end visibility into their supply chain. It is a customer-facing engineering role that connects hospital ERP, supply chain and operational systems to the platform and keeps those integrations running in production.

You’ll run technical discovery sessions with hospital IT and supply chain teams, build and maintain production pipelines from customer systems into the platform, and troubleshoot live integration failures such as schema mismatches, authentication problems and upstream data quality issues. You’ll create reusable connectors and integration patterns to speed up onboarding, write documentation and runbooks, feed field learnings back to product and engineering, and give clear status and risk updates. The stack is Python, SQL, REST APIs, ETL pipelines and AWS, with HL7, FHIR, Epic, Cerner, Workday, Airflow, dbt and Snowflake as nice-to-haves.

The ideal candidate will have 4+ years of professional software engineering experience, strong production Python and SQL, hands-on experience building production data pipelines or system integrations, and experience running technical calls with external customers. Experience with REST APIs, webhooks and SFTP is expected, and healthcare data standards, hospital operations and early-stage startup experience would be advantageous. This is a fully remote US position.

This is a Software Engineer (Fullstack) opportunity with an early-stage New York company building AI agents for healthcare front offices, handling patient requests such as scheduling, referrals, prescription refills and billing questions, and documenting the outcome in the EHR. The agents already handle hundreds of thousands of patient interactions across 20+ specialties.

You’ll build and operate production full-stack features for AI-driven healthcare communication, integrate with EHRs, legacy healthcare systems and real-time voice infrastructure, improve reliability, performance and scalability, and take part in code reviews and technical discussions. The stack is Node.js, TypeScript, React and PostgreSQL, alongside LLM-based systems and real-time voice.

The ideal candidate will have 3 to 5 years shipping production software with strong full-stack experience, comfort with ambiguity and an ownership mindset. This is an in-person role in New York City, suited to an engineer who wants to build AI products used in live clinical operations.

This is a Senior Backend Engineer opportunity with an early-stage New York company building AI agents for healthcare front offices, handling scheduling, referrals, refills and billing questions and documenting results in the EHR.

You’ll design and own backend services, data models and business logic for the AI agents, build multi-step asynchronous workflows with retries and failure handling, and own integrations with EHRs and legacy systems through APIs and RPA. You’ll build internal platform tooling for deploying customer assistants and implement authentication, authorisation and HIPAA-compliant architecture.

The ideal candidate will have 5+ years building scalable backend systems in high-reliability environments, with strong skills in APIs, relational databases, async workflows and distributed systems. Security, auth and regulated-environment experience, including HIPAA, would be advantageous. This is an in-person role in New York City.

This is a Forward Deployed Engineer opportunity with an early-stage New York company building AI agents for healthcare front offices. The role owns customer implementations from scoping to go-live and writes production code.

You’ll write production code for integrations, agent configuration and platform logic, own implementations including project plans, act as the primary technical contact for customers, monitor and tune agents in production, and feed field insights into the product roadmap. The work involves voice agent configuration and workflow automation.

The ideal candidate will have 3+ years of engineering experience shipping production systems while working with customers, and experience managing multi-workstream technical projects. Comfort leading architecture discussions with customer technical teams is expected. This is an in-person role in New York City.

This is a Senior Software Engineer (Fullstack) opportunity with an early-stage New York company building AI agents for healthcare front offices, handling patient requests and documenting results in the EHR. The role leads deployment, performance and reliability of agents in live healthcare settings.

You’ll architect full-stack systems that integrate with EHRs and real-time voice infrastructure, set technical strategy for customer-facing solutions, mentor engineers, and set standards for testing, security and HIPAA-compliant development. You’ll also influence the product roadmap. The stack is Node.js, TypeScript, React and PostgreSQL, with LLMs and real-time voice (with a 99.99% uptime target).

The ideal candidate will have 5+ years building production systems in high-reliability environments, strong full-stack and system design skills, and proven mentorship and cross-functional leadership. This is an in-person role in New York City.

This is a Member of Technical Staff (Fullstack AI Engineer) opportunity with a Seed-stage New York company building AI agent software that helps pharmaceutical marketers plan campaigns and produce compliant, reference-backed content. It works with 50+ pharma brands.

The posting is thin on detail, so confirm scope with the hiring team before submitting candidates. The role builds and maintains the agent platform, owns Python and FastAPI APIs and orchestration, and builds full-stack AI experiences for life sciences teams that create and review content. The wider stack includes React, Next.js, Redis, PostgreSQL, TypeScript and Datadog.

Years of experience are not stated, so expect a strong product engineer who has shipped AI features. This is an on-site role in New York City. Note that the business sits in pharma marketing rather than provider-side healthtech.

This is a Member of Technical Staff (Data Engineering) opportunity with a Seed-stage New York company building AI agent software that helps pharmaceutical marketers plan campaigns and produce compliant, reference-backed content.

The posting is thin on detail, so confirm scope with the hiring team before submitting candidates. The role builds the company’s media data foundation: ingesting partner logs daily, reconciling records keyed by provider identifiers (NPI), and linking pharma creative to real-world performance. The stack named across the listing includes Python and the major cloud warehouses and platforms (BigQuery, Snowflake, Databricks, Redshift).

Years of experience are not stated. Expect a data engineer comfortable with messy third-party data and entity reconciliation. This is an on-site role in New York City. Note that the business sits in pharma marketing rather than provider-side healthtech.

This is an AI Research Engineer opportunity with a Seed-stage healthcare AI company building an AI-native denial management platform for revenue cycle teams. The role owns model quality: improving LLM orchestration, prompt optimisation, evaluation frameworks and AI infrastructure, and helping product engineers ship.

You’ll follow LLM research closely, test new model releases against real healthcare billing workflows, and build AI agents with complex asynchronous distributed systems behind them. You’ll balance fast experimentation with systematic evaluation and own AI quality across the product.

The ideal candidate will have deep experience building AI agents, very strong Python, and a habit of rigorous evaluation. Years of experience are not stated. This is an on-site role in New York City or the San Francisco Bay Area.

This is a Software Engineer (Full Stack) opportunity with a Seed-stage healthcare AI company building an agentic workflow platform for revenue cycle and administrative tasks. Engineers work directly with clients on billing workflows.

You’ll build voice AI, browser agents and generative AI features, lead both zero-to-one and scale-up projects, and work directly with customers on their workflows. The posting does not name a stack.

The ideal candidate will be a product-minded full-stack engineer with backend strength who can build LLM products, work hands-on with customers, communicate clearly and take initiative. Years of experience are not stated. This is an on-site role in New York City or the San Francisco Bay Area.

This is a Software Engineer (Integrations) opportunity with a Seed-stage healthcare AI company building an agentic workflow platform for revenue cycle and administrative tasks.

You’ll build and maintain integrations with healthcare practice management and EMR systems using APIs, RPA or agentic flows. Many target systems are remote-desktop or browser-based with strict security requirements. You’ll also build monitoring and observability and a repeatable framework for adding new integrations, working directly with clients.

The ideal candidate will have 5+ years of software engineering experience specifically in healthcare integrations, plus initiative and strong communication. This is an on-site role in New York City or the San Francisco Bay Area.

This is a Software Engineer (Infrastructure) opportunity with a Seed-stage healthcare AI company building an agentic workflow platform for revenue cycle and administrative tasks. It is the company’s first infrastructure engineer.

You’ll own DevOps, developer experience, compliance and observability for the AWS stack, including LLM observability, reducing AWS spend, network security (VPNs, firewalls) and automating compliance with AI agents. You’ll identify the highest-ROI infrastructure problems and build the roadmap.

The ideal candidate will have 5+ years leading or working on infrastructure teams at strong companies and the communication to drive change. Experience owning HIPAA, SOC 2 or ISO audit processes would be advantageous. The stack includes AWS and Ruby on Rails. This is an on-site role in New York City or the San Francisco Bay Area.

This is a Data Engineer opportunity with a Series A New York healthcare finance company building an AI-powered financial operating system for medical practices, recovering revenue lost to fragmented data, manual workflows and opaque payer systems. It recently closed a $22M Series A.

You’ll build and scale data pipelines and integrations for messy healthcare financial data, with early-team ownership of the technical roadmap and engineering culture. The work touches distributed systems coordination, AI pipelines and big data tooling, with CI/CD on GitHub Actions.

The ideal candidate will have 5+ years in data engineering focused on pipelines and integrations, with strong Python and database performance experience. Healthcare data or interoperability experience would be advantageous. This is an on-site role in New York City, three days a week in the office.

This is a Founding Analytics Engineer opportunity with a Series A New York healthcare finance company building an AI-powered financial operating system for medical practices. It is the first analytics hire, building the analytics stack from scratch.

You’ll design the warehouse, transformation, semantic and visualisation layers, define data models, metrics and business logic (including revenue recognition and billing rules), build self-service dashboards for internal teams and customers, and set standards for governance, testing and documentation. The tools include SQL, dbt, Looker or Tableau, Python, and a cloud warehouse such as Snowflake, BigQuery or Redshift.

The ideal candidate will have 5+ years in analytics engineering, data analytics or BI with a focus on data models and metrics frameworks. Healthcare or financial analytics experience would be advantageous. This is an on-site role in New York City, three days a week in the office.

This is a Founding Infrastructure Engineer opportunity with a Series A New York healthcare finance company building an AI-powered financial operating system for medical practices. The platform ingests and reconciles large volumes of messy financial data, so stability and scale matter.

You’ll own the Kubernetes platform end to end, design and maintain CI/CD workflows on GitHub Actions, build observability (metrics, logs, tracing), establish security foundations including secrets management, IAM and compliance-friendly patterns, optimise PostgreSQL performance and build internal tooling.

The ideal candidate will have 5+ years in infrastructure, SRE or platform engineering, with strong Kubernetes, Python, CI/CD, PostgreSQL, infrastructure as code and cloud networking and IAM experience. EKS or GKE and Terraform would be advantageous. This is an on-site role in New York City, three days a week in the office.

This is an AI Engineer opportunity with a Series A New York healthcare finance company building an AI-powered financial operating system for medical practices. It is the technical lead for an agentic platform that researches, classifies and resolves insurance claim denials, including generating appeals.

You’ll design multi-agent workflow architecture, build specialised agents for denial classification, root cause analysis, evidence retrieval, policy reasoning and appeal generation, build and optimise RAG systems over clinical, billing and payer-policy documents, and create evaluation frameworks and feedback loops. You’ll work with billing managers to turn denial workflows into agent behaviour.

The ideal candidate will have 5+ years in machine learning engineering with production AI systems and model deployment at scale, and experience with PyTorch, TensorFlow or JAX. LLM prompting, fine-tuning, vector search and MLOps are part of the stack. Healthcare data or medical billing knowledge would be advantageous. This is an on-site role in New York City, three days a week in the office.

This is a Product Engineer opportunity with a Series A New York healthcare finance company building an AI-powered financial operating system for medical practices.

You’ll build responsive React and TypeScript interfaces for complex financial workflows, own features end to end across the React frontend and FastAPI backend, build dashboards, analytics visualisations, workflow tools and AI copilot interfaces, and improve the design system and frontend architecture. You’ll help shape the product vision and technical roadmap.

The ideal candidate will have 3+ years in full-stack or frontend engineering, deep React and TypeScript, experience building polished, accessible UIs, FastAPI or a similar Python framework, and CI/CD experience with tools such as GitHub Actions. Healthcare data or operational workflow tools would be advantageous. This is an on-site role in New York City, three days a week in the office.

This is a Software Engineer (Backend) opportunity with a Series A New York healthcare finance company building an AI-powered financial operating system for medical practices.

You’ll design and build complex pipelines for AI agents and data ingestion, scale data integration infrastructure to connect with varied healthcare systems, solve interoperability problems so practices can recover lost revenue, and speed up customer onboarding. You’ll help set the architectural vision, review code and write technical design documents.

The ideal candidate will have 5+ years of backend engineering experience focused on data pipelines and integrations, strong Python and database systems experience, distributed systems coordination, and big data technologies. CI/CD with GitHub Actions is part of the workflow, and healthcare data or interoperability experience would be advantageous. This is an on-site role in New York City, three days a week in the office.

This is a Forward Deployed Analytics Engineer opportunity with a Series A New York company building agentic AI software for healthcare finance teams. Its agents run continuously against each customer’s own data and business logic, and its customers manage billions of dollars in combined revenue.

You’ll gather customer requirements and business rules, sometimes on site, review financial and clinical source data models, reverse-engineer undocumented business logic such as payer contract rules, and build and validate SQL transformations that map customer data into the company’s unified ontology and semantic layer. You’ll own testing and validation for every transformation shipped. The stack is SQL (BigQuery preferred), SQLMesh, a modern data platform (Databricks, Snowflake, Fabric or BigQuery), Git, Python and CI/CD.

The ideal candidate will have 3 to 5+ years of industry experience with deep healthcare data experience across claims, EHR or revenue cycle data, strong SQL and dbt-style tooling experience. Epic Cogito or Clarity certifications, PHI governance experience and HL7, FHIR or X12 familiarity would be advantageous. This is an in-person role in New York City, four days a week.

This is a Forward Deployed Insights Engineer (Applied AI) opportunity with a Series A New York company building agentic AI software for healthcare finance teams. Its agents run continuously against each customer’s own data and workflows.

You’ll set up customer workspaces and build AI agents and ML models on the company’s existing agent infrastructure, scope high-value healthcare finance problems with customers and product, build dashboards that help finance and operations leaders act on model outputs, demo solutions to non-technical audiences, and turn customer-specific work into platform features. You’ll test and validate the accuracy of what you ship. The stack is Python, SQL, AI coding tools, CI/CD and BI or light front-end tools, with GCP preferred.

The ideal candidate will have deep healthcare domain experience (consulting, forward-deployed or health tech) with claims, EHR or revenue cycle data, strong Python and SQL, daily use of AI-assisted coding tools and experience presenting to end users. Years of experience are not stated. This is an in-person role in New York City, four days a week.

This is a Senior Software Engineer opportunity with a Seed-stage New York AI company automating healthcare recruiting, from sourcing through onboarding, for large health system customers. It is a senior role scaling the backend as volume grows from thousands to millions of candidate interactions.

You’ll scale the backend architecture for AI products, set technical direction, mentor engineers while staying hands-on, build end-to-end AI applications with the product and founding teams, and improve reliability and observability. The stack is JavaScript, Node.js, Python, React, AWS (EKS, ECS), Kubernetes, Docker and MySQL or Postgres.

The ideal candidate will have 6+ years of software engineering experience with strong full-stack exposure, a prior senior or lead title, and demonstrated experience running high-availability distributed systems. Time at both a late-stage company and an early-stage startup is asked for. LLM, voice, streaming or low-latency experience would be advantageous. This is a hybrid role in New York City, in the office Monday to Thursday.

This is a Software Engineer opportunity with a Seed-stage New York AI company automating healthcare recruiting for large health system customers, now in a growth phase expanding workflows and UI systems.

You’ll ship product workflows end to end across the database, API and UI layers, build responsive interfaces for enterprise teams, help evolve the design system, improve performance and reliability, and work with product and design on roadmap decisions. The stack is TypeScript, React, Node.js and Postgres or MySQL, with AI and real-time components.

The ideal candidate will have production full-stack experience, strong React and TypeScript including complex UI architecture and state management, and experience designing and consuming APIs. Years of experience are not stated. Design system work, real-time systems and LLM-powered features would be advantageous. This is a hybrid role in New York City, in the office Monday to Thursday.

This is a Forward Deployed Engineer opportunity with a Seed-stage New York AI company automating healthcare recruiting for large health system customers. Its AI interviewers already run tens of thousands of structured candidate interviews each month.

You’ll lead customer onboarding and turn hiring requirements into interview flows, question banks and scoring rubrics, design prompts and agent logic, build evaluation and scoring systems, deploy new interviewers and run QA pipelines. You’ll use customer feedback and production metrics to balance quality, latency and cost. The stack centres on Python, multiple LLMs and voice or conversational AI tooling.

The ideal candidate will have 2+ years of engineering experience (4 to 6 preferred), 1+ year working with LLMs or AI agents in production, a strong full-stack background and experience building evaluation frameworks for AI systems. Comfort with customer-facing technical discovery is expected. This is a hybrid role in New York City, in the office Monday to Thursday.

This is a Senior Software Engineer (Applied AI) opportunity with a Seed-stage New York AI company building autonomous recruiting agents for healthcare, scaling from thousands to millions of candidate conversations.

You’ll build agentic workflows and multi-agent systems using RAG and agent-to-agent communication, select and tune models for voice AI pipelines (speech to text, text to speech, voice activity detection) on quality, latency and cost, build evaluation, guardrail and observability systems, and own the backend services and inference pipelines. The stack is Python, JavaScript, Node.js, AWS, Kubernetes and Docker.

The ideal candidate will have 6+ years of software engineering experience with significant ML and applied AI work, shipped multi-agent solutions with real-time inference to live users, and experience running distributed backend systems. Time at an early-stage startup is asked for, and self-hosting and tuning voice models would be advantageous. This is a hybrid role in New York City, in the office Monday to Thursday.

This is a Technical Solutions Architect opportunity with a Series B New York company building AI software that reduces healthcare administrative work for clinicians, with large enterprise customers. It is a technical program leadership role in a fast-moving team of about 10 engineers, helping build a deployment and solutions practice that scales from around 5 customers to 50.

You’ll design and drive end-to-end solutions for enterprise customers from scoping to delivery, coordinate engineering, product, clinical and customer teams, spot dependencies and blockers early, build lightweight programme management, work with customers’ technical teams on integrations and timelines, and lead incident response coordination and postmortems.

The ideal candidate will have owned complex technical programmes end to end, with a background as a technical programme manager, solutions architect or technical deployment lead at a scale-up or high-growth startup. Years of experience are not stated, and writing production code is not required, but you need to read design docs and understand deployment pipelines. Familiarity with Python, Go, TypeScript, React and AWS helps. This is an on-site role in New York City.

This is an Engineering Manager opportunity with a Series B US fintech business that helps employers design and administer tailored employee benefits. It is not healthtech. The role leads Core Services, covering the ledger, decisioning, schedules, rules engine, HRIS integrations and authentication, and reports to the VP of Engineering.

You’ll lead a team of 4 to 6 backend engineers, manage growth, feedback and hiring, own execution and sequencing, plan for operational load including incidents, and lead design reviews that enforce idempotency, auditability and safe retries. You’ll stay hands-on enough to review designs, prototype and debug critical systems, and use AI heavily in daily work. The stack is Python, Django, PostgreSQL, AWS and Docker, with React and TypeScript on client surfaces.

The ideal candidate will have 5+ years of software engineering experience and 2+ years leading teams of around 3 to 8 engineers, with strong Python and Django. Fintech, payments or ledger experience would be advantageous. This is a US remote-first position with company on-sites three times a year.

This is a Senior Data Engineer opportunity with a Series B US fintech business that helps employers design and administer tailored employee benefits. It is not healthtech. The role owns the data platform.

You’ll own the Redshift Serverless warehouse, replication (Airbyte and DMS), orchestration, dbt transformations and a Cube semantic layer, build pipelines that replicate production databases while handling PII and multi-tenancy, and set standards for data quality, testing and row-level security on financial data. You’ll enable self-service analytics, tune reliability and cost, and partner with Product, Engineering, Finance and Security. The stack includes AWS, dbt, Cube, Airbyte, Python, SQL, Metabase, Terraform and Kubernetes.

The ideal candidate will have 5+ years of data engineering experience with growing ownership of platform architecture, strong SQL and Python, hands-on warehouse and dbt experience, and experience with CDC and replication tools. Regulated-domain experience and fintech, benefits or healthcare background would be advantageous. This is a US remote-first position with company on-sites three times a year.

This is a Backend Engineer II (Healthcare) opportunity with a Series C New York healthcare data company whose platform gives life sciences organisations data and AI-driven insight on doctors and trials. It is a mid-level engineering role on a product team.

You’ll help deliver features end to end, build and maintain APIs, backend services and microservices, tune PostgreSQL schemas and queries, work on Kafka-based event-driven systems and Elasticsearch indexes, support Kubernetes-hosted applications, and build full-stack features across React frontends and NestJS backends. The stack is TypeScript, Node.js, NestJS, React, PostgreSQL, Kafka, Elasticsearch, Kubernetes, AWS and Spark.

The ideal candidate will have 3 to 5 years of professional software engineering experience, hands-on TypeScript and Node.js, working PostgreSQL knowledge and familiarity with Kafka, Elasticsearch, Kubernetes and AWS. Python or PySpark, Go and LLM API experience would be advantageous. This is a hybrid position in New York City.

This is a Data Engineer II (Life Sciences) opportunity with a Series C New York healthcare data company whose platform gives life sciences organisations data and AI-driven insight on doctors and trials. The role sits on the team that ingests and masters client data for large enterprise customers, with clinical trial data as a key stream.

You’ll build and maintain Python and PySpark pipelines for clinical trial data intake, write transformation logic that maps raw CSV, JSON, Parquet and API data into the internal data model, tune SQL on large datasets, deliver customer-driven changes within enterprise SLAs, work with clinical subject-matter experts to turn domain knowledge into data rules, and build quality checks and observability.

The ideal candidate will have 3+ years of software or data engineering experience, meaningful Python, hands-on PySpark, strong SQL on messy multi-source data and solid testing and CI/CD practice. Orchestration tools (Argo, Airflow, Databricks, dbt) and clinical trial or regulated data would be advantageous. This is a hybrid position in New York City.

This is a Director of Engineering (Data Streams) opportunity with a Series C New York healthcare data company whose platform gives life sciences organisations data and AI-driven insight on doctors and trials. The role owns the engineering organisation that delivers recurring provider, organisation and clinical trial data feeds to enterprise customers.

You’ll set the technical direction for the Data Streams organisation, lead the build-out of a configurable pipeline for ingesting and standardising customer provider directory data (moving from bespoke per-customer work to template-driven onboarding), enforce the data governance framework, resolve competing priorities across engineering, product and sales, hire and develop engineers and managers, and lead incident response on data delivery. You’ll stay involved in architecture without coding daily.

The ideal candidate will have 12+ years of software engineering experience and 4+ years leading engineering organisations at director level, including managing managers. Experience owning a data product delivered to external enterprise customers, productising bespoke work into a configurable platform, and pharma or life sciences knowledge are expected. This is a hybrid position in New York City.

This is a Senior Forward Deployed Software Engineer opportunity with a Series C New York healthcare data company whose platform gives life sciences organisations data and AI-driven insight on doctors and trials. The role embeds with pharma clients’ clinical, medical affairs and R&D teams. Note that it is Salesforce-heavy.

You’ll own end-to-end Salesforce Life Sciences Cloud implementations, including feature development, customisation and data model design, translate client requirements into technical solutions, build Python and Airflow pipelines, write SQL and design data models for pharma workflows, and act as the technical point of contact for enterprise pharma accounts. You’ll define standards as the forward deployed function scales.

The ideal candidate will have 5+ years of hands-on Salesforce consulting (Apex, Flows, Lightning Components) with shipped implementations, strong Python with Airflow and ETL experience, and SQL and data modelling skills. Life Sciences Cloud and pharma consulting experience would be advantageous. This is a hybrid position in New York City.

This is a Staff Data Engineer opportunity (Emerald team) with a Series C New York healthcare data company whose platform gives life sciences organisations data and AI-driven insight on doctors and trials. Emerald is the entity resolution platform that links external datasets (publications, clinical trials, conferences, web data) to canonical physician and organisation profiles.

You’ll design and scale distributed Spark and PySpark pipelines for entity resolution, own automatching, identity mapping, deduplication and enrichment, build processing frameworks for publication and clinical trial data, improve throughput, observability and cloud cost, work with AI/ML teams on matching models, and mentor engineers. The stack includes Spark, AWS (EMR, S3), Kafka, Argo, Hudi, Docker, Kubernetes, Terraform and PostgreSQL or Redshift.

The ideal candidate will have 8+ years building large-scale distributed data systems, deep Spark and AWS big data experience, technical leadership and mentoring experience. Entity resolution and healthcare or life sciences data experience are strongly preferred. This is a hybrid position in New York City.

This is a Staff Data Engineer (Data Lake) opportunity with a Series C New York healthcare data company whose platform gives life sciences organisations data and AI-driven insight on doctors and trials.

You’ll design and scale distributed ETL and ELT pipelines and ingestion frameworks for structured and unstructured healthcare data, evolve the data lake architecture for scale, reliability and cost, improve data quality and normalisation across thousands of global sources, build batch and near-real-time processing on cloud-native platforms, optimise Spark workloads, and mentor engineers and lead architecture reviews. The stack includes Python (PySpark), Java, Scala, SQL, Spark, AWS (EMR, Glue, S3, Athena, Redshift), Argo or Airflow, Docker and Kubernetes.

The ideal candidate will have 8+ years in data or software engineering building distributed data platforms, advanced SQL, deep Spark experience and technical leadership. Large-scale data cleaning and healthcare, life sciences or entity-resolution datasets are preferred. This is a hybrid position in New York City.

This is a Senior Backend Engineer opportunity with a Series D consumer sleep and recovery technology company, combining hardware, software and AI. It is not healthtech in the provider sense. The role keeps a very large data pipeline and a microservice estate healthy.

You’ll maintain and improve the integrity of a data pipeline handling roughly 5 TB a day, build tools to keep around 30 microservices available and automate their operation, and contribute to backend services and product features. The listing is polyglot (Java, Scala or Kotlin, C#/.NET, Python, Node.js with TypeScript).

The ideal candidate will have 8+ years of software engineering experience, 5+ years as a backend engineer or SRE, advanced skill in at least two of the listed languages, and deep distributed systems and cloud experience. The company describes a high-intensity culture. This is a remote US position.

This is a Senior Software Engineer (Mobile, Android) opportunity with a Series D consumer sleep and recovery technology company, combining hardware, software and AI. It is not healthtech in the provider sense. The app is the main way members control the product and see insights.

You’ll build and ship native Android features, conduct code reviews and optimise app performance, working closely with backend, firmware and ML engineers. The stack is Kotlin, Jetpack Compose, Coroutines, Flow and MVVM or MVI.

The ideal candidate will have 6+ years shipping high-quality features in native Android apps and experience building scalable, testable apps. Custom Compose UI components, hardware products and health or wellness app experience would be advantageous. This is a remote US position (with San Francisco, New York and Boston-area options). The company describes a high-intensity culture.

This is a Senior Software Engineer (Mobile, iOS) opportunity with a Series D consumer sleep and recovery technology company, combining hardware, software and AI. It is not healthtech in the provider sense. The app is the main way members control the product and see insights.

You’ll build and ship native iOS features, conduct code reviews and optimise app performance, working closely with backend, firmware and ML engineers. The stack is Swift, SwiftUI and Combine.

The ideal candidate will have 6+ years shipping high-quality features in native iOS apps, expertise in Swift, modular architecture experience and a degree in computer science or equivalent. App Extensions (Apple Watch, widgets) and consumer health and wellness experience would be advantageous. This is an on-site role in the San Francisco Bay Area, so it sits outside your New York focus. The company describes a high-intensity culture.

This is a Machine Learning Engineer (Foundation Models and Personalisation) opportunity with a Series D consumer sleep and recovery technology company, combining hardware, software and AI. It is not healthtech in the provider sense.

You’ll build and deploy ML models for personalisation, prediction and behaviour understanding (readiness forecasting, event detection, individual recommendations), apply LLMs and multimodal modelling to product workflows, model user behaviour from longitudinal sleep and environment data, design offline evaluation and online experiments, and productionise training and inference pipelines with monitoring and drift detection. The stack includes PyTorch, TensorFlow or JAX, Python, SQL, and Spark or Ray.

The ideal candidate will have 2+ years building ML systems in production, ideally for consumer products, with strong fundamentals in supervised learning, time-series modelling and deep learning, and experience with personalisation systems. Health or biometric data and privacy-preserving methods would be advantageous. Location is not stated in the posting; the sheet shows the San Francisco Bay Area.

This is a Full Stack Engineer (Customer Experience) opportunity with a Series D consumer sleep and recovery hardware company. You’ll build the internal tools and AI systems that help customer support resolve issues faster.

You’ll build full stack tooling in Python and TypeScript, develop MCP servers and AI-powered workflows for issue resolution, and work with SQL data to spot patterns across customer problems.

The ideal candidate will have 5+ years of experience with Python, TypeScript and SQL, and an interest in applying AI to support operations. The role is based in NYC or San Francisco.

This is a Backend Engineer opportunity with a New York based fintech company serving physician practices. You’ll build the payments and financial APIs that independent practices rely on.

You’ll design and ship backend services in Node.js, Express and Postgres, integrate with third party fintech APIs, and own features from design through to production.

The ideal candidate will have around 5 years of backend experience with JavaScript/Node and Postgres, and fintech API experience is a strong plus. The role is hybrid in NYC, four days in the office with Wednesdays remote.

This is a Forward Deployed Engineer (AI Solutions) opportunity with a New York based fintech company serving physician practices. You’ll sit between customers and the engineering team, turning practice workflows into working AI-driven solutions.

You’ll scope customer needs, build and implement integrations, configure AI solutions in live environments, and feed what you learn back to product and engineering.

The ideal candidate will have 5+ years in solutions engineering, implementation or similar customer-facing technical work. EHR integration experience is strongly preferred. The role is hybrid in NYC, four days in the office with Wednesdays remote.

This is a Senior Backend Engineer opportunity with a New York based fintech company serving physician practices. You’ll take technical ownership of core services and help set the standard for how the backend is built.

You’ll lead design and delivery of Node.js, Express and Postgres services, work on fintech API integrations, and mentor engineers around you.

The ideal candidate will have 5+ years of backend experience, strong Postgres and Node skills, and experience with financial or payments APIs. The role is hybrid in NYC, four days in the office with Wednesdays remote.

This is a Software Engineer opportunity with a Series A healthtech company building AI hospital staffing and scheduling software. You’ll work across the product, with real impact from day one.

You’ll build features end to end with React, TypeScript and Vite on the front, and Node.js, NestJS and Postgres on AWS at the back.

The ideal candidate will have strong full stack experience on a modern TypeScript stack and enjoys working in a small, fast team. The role is hybrid in Manhattan, two days a week in the office. Visa sponsorship is not available.

This is a Software Engineer (Integrations) opportunity with a Series A healthtech company building AI hospital staffing and scheduling software. You’ll own the connections between the platform and the systems hospitals already run on.

You’ll build and maintain integrations with workforce and HR platforms such as UKG, Symplr, Workday and ADP, handle messy data and edge cases, and keep syncs reliable.

The ideal candidate will have 4+ years of experience building third party integrations and APIs. The role is based in New York or remote.

This is an Engineering Manager (Billing) opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll lead the team behind billing, one of the most important parts of the platform.

You’ll manage and grow engineers, set direction and delivery for billing, and stay close to the Rails, React, TypeScript and GraphQL stack.

The ideal candidate will have 8+ years of engineering experience including 2+ years managing teams. The role is hybrid in NYC or LA, 2 to 3 days a week in the office. Visa sponsorship is not available.

This is a Forward Deployed Engineer opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll work directly with customers to solve hard technical problems on the platform.

You’ll scope and build custom solutions and integrations, debug complex customer cases, and bring what you hear in the field back to the product team.

The ideal candidate will have 5 to 10+ years of experience in customer-facing technical roles. The role is hybrid in NYC. Visa sponsorship is not available.

This is a Senior Data Engineer opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll build the data foundations behind analytics and product features.

You’ll work with Snowflake, Postgres, Terraform, dbt, Kafka and Debezium, use Ruby where needed, and build secure, HIPAA-compliant pipelines with row-level security.

The ideal candidate will have 6+ years of data engineering experience in a regulated environment. The role is remote within the US. Visa sponsorship is not available.

This is a Senior Frontend Engineer opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll shape the experience practitioners and clients use every day.

You’ll build in React, TypeScript and GraphQL, contribute to the design system, and work closely with product and design to ship polished features.

The ideal candidate will have 6+ years of frontend experience with strong React and TypeScript skills and design system experience. The role is based in NYC or LA. Visa sponsorship is not available.

This is a Senior Software Engineer (Ruby/Full-Stack) opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll build core features across a mature Rails application.

You’ll work across Rails, React, TypeScript, GraphQL, Postgres and Redis, ship end to end, and help raise engineering quality.

The ideal candidate will have 6+ years of experience, with strong Ruby on Rails depth. The role is hybrid in NYC or LA. Visa sponsorship is not available.

This is a Staff Engineer opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll set technical direction on a platform that handles sensitive clinical and financial data at scale.

You’ll lead architecture decisions, take on the hardest cross-team problems, and mentor engineers across a Rails, React, TypeScript and GraphQL stack.

The ideal candidate will have 8+ years of engineering experience and a record of technical leadership. The role is hybrid in NYC. Visa sponsorship is not available.

This is a Staff Engineer (New Products) opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll lead the build of new, AI-led products from the ground up.

You’ll own technical direction on new product lines, put AI and ML into production, and work closely with product leadership on what to build next.

The ideal candidate will have 8+ years of engineering experience including production AI/ML work. The role is remote within the US. Visa sponsorship is not available.

This is a Staff Full Stack Engineer (New Billing) opportunity with a Series B healthtech company behind an ONC-certified EHR used by around 40,000 providers. You’ll be the technical lead on a rebuilt billing product.

You’ll design the architecture, write code across Rails, React, TypeScript and GraphQL, and guide the team through delivery.

The ideal candidate will have 8+ years of experience and has led complex product builds as a tech lead. The role is hybrid in NYC. Visa sponsorship is not available.

This is a Senior Software Engineer opportunity with a Series B healthtech company building an EHR for psychiatry, used by 800+ practices. You’ll build core product used daily by clinicians.

You’ll work full stack across TypeScript, Node, React and Postgres on AWS ECS, and take 0-to-1 projects from idea to launch. Daily use of AI coding tools is part of how the team works.

The ideal candidate will have 5+ years of full stack experience, including 0-to-1 work. The role is remote within the US.

This is a Product Engineering Lead opportunity with a remote cardiac care company. You’ll sit between product and engineering and drive what gets built and shipped.

You’ll partner with clinical and product stakeholders, shape priorities, and stay hands-on across a stack that includes Rails, Go, PHP, GraphQL, TypeScript, React and Flutter.

The ideal candidate will have 3+ years as a technical product manager or tech lead. The role is based in the Tribeca office in New York, at least two days a week.

This is a Senior Software Engineer (Back End) opportunity with a remote cardiac care company. You’ll build the services that connect patients, devices and care teams.

You’ll work across Rails, Python, TypeScript, Kafka and AWS, with Flutter and React on the client side, and help guide other engineers.

The ideal candidate will have 5+ years of backend experience, including 2+ years in a leadership or mentoring role. The role is based in New York, with office time in Tribeca.

This is a Data Scientist opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll turn messy clinical records into accurate, structured data.

You’ll design and run experiments, evaluate model output against clinical ground truth, and work with engineers and clinicians to improve accuracy.

The ideal candidate will have 5 to 7+ years of data science experience, including 3 to 4+ years in healthcare, which is a hard requirement. The role is hybrid, 2 to 3 days a week in NYC or Boston.

This is an Engineering Manager (Machine Learning) opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll lead the ML team behind the core product.

You’ll manage and hire ML engineers and scientists, set technical direction, and ship production LLM systems in a regulated setting.

The ideal candidate will have 7+ years of ML experience, 2+ years in technical leadership and 1+ year managing people. The role is hybrid, 2 to 3 days a week in NYC or Boston.

This is a Forward Deployed Data Scientist opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll work with health system customers to get the models working on their data.

You’ll dig into customer records, tune and evaluate model performance, and translate clinical needs into technical fixes.

The ideal candidate will have 2 to 3 years of data science experience and a healthcare background. The role is hybrid, 2 to 3 days a week in NYC or Boston.

This is a Machine Learning Engineer opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll build the production systems that run the models.

You’ll write Python services, build cloud-based pipelines, and deploy and monitor LLM-driven workflows at scale.

The ideal candidate will have 5 to 7+ years of backend and cloud experience with strong Python. The role is hybrid, 2 to 3 days a week in NYC or Boston.

This is an ML Research Engineer opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll sit between research and production, turning new methods into things that work.

You’ll build ML infrastructure and evaluation tooling, run experiments, and ship improvements to the core models.

The ideal candidate will have 3+ years of ML infrastructure experience and 5 to 7+ years of backend experience. The role is hybrid, 2 to 3 days a week in NYC or Boston.

This is a Senior Fullstack Engineer opportunity with a Series A healthtech company using LLMs to automate clinical chart abstraction. You’ll build the product that clinical teams use to review and trust model output.

You’ll work across TypeScript, React and Python, own features end to end, and work closely with ML engineers.

The ideal candidate will have 7+ years of full stack experience. The role is Boston based, with a weekly office day.

This is a Product Engineer opportunity with a Seed stage New York healthtech company automating provider credentialing, verification and enrollment. You’ll own large parts of the product from day one.

You’ll build workflow-heavy features end to end, talk to customers, and decide what to build and how to ship it.

The ideal candidate will have 5+ years of experience building distributed or workflow-driven SaaS. The role is in-office in NYC.

This is a Staff Software Engineer (Fullstack) opportunity with a Seed stage New York healthtech company automating provider credentialing, verification and enrollment. You’ll set the technical foundation as the company scales.

You’ll lead architecture, build core workflow systems across the stack, and help hire and mentor the next engineers.

The ideal candidate will have 5+ years of experience with distributed or workflow-driven SaaS and a record of technical ownership. The role is in-office in NYC.

This is a Front End Software Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll build the interfaces billing teams and providers use to get paid.

You’ll work in React, TypeScript, GraphQL and Tailwind with Firebase, own features from design to release, and work closely with product and design.

The ideal candidate will have 3+ years of frontend experience with strong React and TypeScript. The role is based in NYC or San Francisco.

This is a Senior Software Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll build core systems that move claims and payments through a complex healthcare process.

You’ll work across Python, Postgres, Docker, Kubernetes, React and TypeScript on GCP, with Auth0 and Terraform in the mix, and take real ownership of services.

The ideal candidate will have 8+ years of software engineering experience and strong backend depth. The role is based in NYC or San Francisco.

This is a Forward Deployed Software Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll work with customers to build AI and ML automation into their billing workflows.

You’ll scope customer problems, build automation on top of the platform, and feed what you learn back into the core product.

The ideal candidate will have 5+ years of software engineering experience, including customer-facing or AI/ML automation work. The role is based in NYC or San Francisco.

This is an Analytics Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll build the data models that the business and product teams rely on.

You’ll work with BigQuery, dbt, Python, Metabase and Terraform, and turn raw claims and operations data into clean, trusted datasets.

The ideal candidate will have 4+ years of analytics engineering experience. The role is based in NYC or San Francisco.

This is an Engineering Manager (Product) opportunity with a Series C healthtech company modernising revenue cycle management. You’ll lead a product engineering team shipping features customers use every day.

You’ll manage and grow engineers, work with product on priorities, and keep delivery quality high across the stack.

The ideal candidate will have 6+ years of engineering experience with leadership experience. The role is based in NYC or San Francisco.

This is a Software Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll build features across a modern full stack platform.

You’ll work with Python, Postgres, React, TypeScript, Docker and Kubernetes on GCP, and own work from design to production.

The ideal candidate will have 3+ years of software engineering experience. The role is based in NYC or San Francisco.

This is a Senior Software Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll take on complex backend and full stack problems and help raise the bar for the team.

You’ll work across Python, Postgres, Docker, Kubernetes, React and TypeScript on GCP, and mentor engineers around you.

The ideal candidate will have 8+ years of software engineering experience. The role is based in NYC or San Francisco.

This is an Engineering Leader (Infrastructure and Platform) opportunity with a Series C healthtech company modernising revenue cycle management. You’ll lead the teams that keep the platform fast, secure and reliable.

You’ll manage managers, set platform strategy, and report to the Head of Engineering.

The ideal candidate will have 6+ years of engineering experience including managing managers. The role is based in San Francisco or Denver.

This is a Senior AI/ML Engineer opportunity with a Series C healthtech company modernising revenue cycle management. You’ll build AI systems that automate claim submission and resubmission.

You’ll design and ship ML and LLM-driven workflows, work with BigQuery on GCP, and measure impact on payment outcomes.

The ideal candidate will have 8+ years of software experience and 5+ years working with AI. The role is based in NYC or San Francisco.

This is a Senior Research Scientist opportunity with a Series E AI company building agents for housing and healthcare, backed by a16z. You’ll push the models behind real conversations at scale.

You’ll run research on language and voice models, take results into production, and work with engineers on evaluation.

The ideal candidate will have a PhD and 5+ years of research experience. The role is in-office in NYC, four to five days a week, with relocation support offered.

This is a Senior DevOps Engineer opportunity with a Series E AI company building agents for housing and healthcare. You’ll run the infrastructure behind a fast-growing AI product.

You’ll work with AWS, Terraform, Python and GitHub Actions, improve reliability and deployment speed, and support the engineering team.

The ideal candidate will have 3+ years of DevOps or infrastructure experience. The role is in-office in NYC, four to five days a week, with relocation support offered.

This is a Founding Engineer (Healthcare) opportunity with a Series E AI company building agents for healthcare. You’ll help build a new product line from the start.

You’ll write backend code in Java, C#, Go or Python, work directly with customers, and own your work end to end.

The ideal candidate will have 1+ year of professional engineering experience and wants to move fast. The role is in-office five days a week, with relocation support offered.

This is a Senior Data Engineer opportunity with a Series E AI company building agents for housing and healthcare. You’ll build the data platform behind the AI products.

You’ll work with Python, Postgres, Snowflake, dbt and Airflow, and build reliable pipelines and models.

The ideal candidate will have 4+ years of data engineering experience. The role is in-office in NYC, four to five days a week, with relocation support offered.

This is a Senior Software Engineer opportunity with a Series E AI company building agents for housing and healthcare, working on autonomous buildings in proptech. You’ll build backend systems connecting smart building hardware and AI.

You’ll write code in Java, C#, Go or Python and own features end to end.

The ideal candidate will have 1+ year of professional engineering experience. The role is in-office in NYC, four to five days a week, with relocation support offered.

This is a Senior Software Engineer opportunity with a Series E AI company building agents for housing and healthcare, working on autonomous buildings in proptech. You’ll build backend systems connecting smart building hardware and AI.

You’ll write code in Java, C#, Go or Python and own features end to end.

The ideal candidate will have 1+ year of professional engineering experience. The role is in-office in San Francisco, four to five days a week, with relocation support offered.

This is a Senior Software Engineer (Full Stack) opportunity with a Series E AI company building agents for housing and healthcare. You’ll ship customer-facing features end to end.

You’ll work in JavaScript, TypeScript and React, and move quickly from idea to release.

The ideal candidate will have 2+ years of full stack experience. The role is in-office, four to five days a week, with relocation support offered.

This is a Staff Software Engineer opportunity with a Series E AI company building agents for housing and healthcare. You’ll set technical direction as the platform scales.

You’ll lead architecture, solve hard cross-team problems on AWS, and mentor engineers.

The ideal candidate will have 6+ years of software engineering experience. The role is in-office in San Francisco, four to five days a week, with relocation support offered.

This is a Staff Software Engineer opportunity with a Series E AI company building agents for housing and healthcare. You’ll set technical direction as the platform scales.

You’ll lead architecture, solve hard cross-team problems on AWS, and mentor engineers.

The ideal candidate will have 6+ years of software engineering experience. The role is in-office in NYC, four to five days a week, with relocation support offered.

This is a Founding Senior Software Engineer (Full Stack, Healthcare) opportunity with a Series E AI company building agents for healthcare. You’ll help shape a new healthcare product from the start.

You’ll build full stack features in JavaScript, TypeScript and React, and work directly with customers.

The ideal candidate will have 3+ years of full stack experience. The role is in-office five days a week, with relocation support offered.

This is a Software Engineer (Full Stack and Mobile) opportunity with a Series E AI company building agents for housing, working on a leasing platform in proptech. You’ll build across web, backend and mobile.

You’ll write code in Java, C#, Go or Python and build mobile apps in Flutter, Swift or Kotlin.

The ideal candidate will have 2+ years of backend experience and 2+ years of mobile experience. The role is in-office, four to five days a week, with relocation support offered.

This is a Senior Research Scientist opportunity with a Series E AI company building agents for housing and healthcare, backed by a16z. You’ll push the models behind real conversations at scale.

You’ll run research on language and voice models, take results into production, and work with engineers on evaluation.

The ideal candidate will have a PhD and 5+ years of research experience. The role is in-office in San Francisco, four to five days a week, with relocation support offered.

This is an AI Engineer opportunity with a Seed stage company building AI engagement tools for pharma and healthcare professionals. You’ll build LLM-powered features that reach real users.

You’ll build backend services on AWS with RAG pipelines and evaluation frameworks, and ship fast.

The ideal candidate will have 3+ years of backend experience with AI/ML. The role is based in New York, Atlanta or remote within the US.

This is an AI Solutions Architect opportunity with a Seed stage company building AI engagement tools for pharma and healthcare professionals. You’ll design how AI is applied to real customer workflows.

You’ll build with LangChain and LlamaIndex, and integrate with Salesforce and data lakes.

The ideal candidate will have 5+ years in product or 2+ years of applied engineering. The role is based in New York, Atlanta or remote within the US.

This is a Director of AI Automation Engineering opportunity with a Seed stage company building AI engagement tools for pharma and healthcare professionals. You’ll be the first hire in this function, with real scope to shape it.

You’ll build AI evaluation and release-gating infrastructure, set standards, and report to the SVP of Product AI.

The ideal candidate will have 5+ years of engineering experience and has built AI systems with strong testing in place. The role is based in New York, Atlanta or remote within the US.

This is a Software Engineer (DevOps) opportunity with a Seed stage company building AI engagement tools for pharma and healthcare professionals. You’ll run the cloud infrastructure behind the product.

You’ll work with AWS, Terraform, Docker, EKS and ECS, and improve reliability and delivery.

The ideal candidate will have 3+ years of experience, including 2+ in cloud infrastructure. The role is based in New York, Atlanta or remote within the US.

This is a Product Solutions Architect opportunity with a Seed stage company building AI engagement tools for pharma and healthcare professionals. You’ll sit between customers and engineering, shaping how the product fits real workflows.

You’ll scope customer needs, design solutions on the platform, and translate what you hear into clear technical requirements for the team.

The ideal candidate will have strong technical depth and comfort working with customers. The role is based in New York or remote within the US.

This is a Senior Software Engineer opportunity with a Series B New York healthtech company building software for healthcare billing and revenue operations. You’ll own meaningful parts of a product that directly affects how providers get paid.

You’ll build and ship features end to end, work closely with product, and raise the quality bar for the team.

The ideal candidate will have solid senior-level software engineering experience and enjoys fast-moving product work. The role is on-site in New York.

This is a Staff Software Engineer opportunity with a Series B New York healthtech company building software for healthcare billing and revenue operations. You’ll set technical direction as the platform and team grow.

You’ll lead architecture across the stack, which includes Python, Java, TypeScript and Go on AWS, Azure and GCP, and mentor engineers.

The ideal candidate will have staff-level experience and a record of technical leadership. The role is on-site in New York.

This is a Senior Data Engineer opportunity with a Series B New York healthtech company building software for healthcare billing and revenue operations. You’ll build the data foundations the product and business run on.

You’ll work with AWS, Spark, Kafka, dbt, Python, SQL and Terraform to build reliable pipelines and models.

The ideal candidate will have senior data engineering experience with a strong streaming and warehouse background. The role is on-site in New York.

This is a Software Engineer opportunity with a Series B New York healthtech company building software for healthcare billing and revenue operations. You’ll ship features across a product with real customer impact.

You’ll build end to end, learn the domain quickly, and work alongside senior engineers.

The ideal candidate will be a strong, product-minded engineer who wants to grow fast. The role is on-site in New York.

This is a Senior Platform Software Engineer opportunity with a Series B New York healthtech company building software for healthcare billing and revenue operations. You’ll build the platform other engineers build on.

You’ll work with AWS, Terraform, PostgreSQL, Kafka, Datadog and Databricks, with LLMs and React also in the mix.

The ideal candidate will have senior platform or backend experience and cares about reliability. The role is on-site in New York.

This is a Software Engineer opportunity with a Series A New York healthtech company using AI to audit clinical documentation and compliance. You’ll help build a product that healthcare organisations rely on.

You’ll build across Python, TypeScript, React and Next.js on AWS, work with SQL data, and put LLMs into production.

The ideal candidate will be a strong full stack engineer with an interest in applied AI. The role is hybrid in New York.

This is a Senior Product Engineer opportunity with a Series A New York healthtech company using AI to audit clinical documentation and compliance. You’ll own features from idea to launch with a lot of autonomy.

You’ll work across the stack on AWS, build with LLMs, and work directly with customers and product.

The ideal candidate will have senior product engineering experience and strong judgement on what to build. The role is hybrid in New York.

This is a Senior Platform Engineer opportunity with a Series A New York healthtech company using AI to audit clinical documentation and compliance. You’ll build the platform behind the AI systems.

You’ll work with AWS, Azure, OpenAI, Python and TypeScript, and make LLM workflows reliable at scale.

The ideal candidate will have senior platform or infrastructure experience, ideally with LLM systems. The role is hybrid in New York.

This is a Backend Software Engineer opportunity with a Series C New York healthtech company using AI to automate referrals and patient intake. You’ll build the services behind a fast-growing product.

You’ll work in JavaScript and TypeScript, own services end to end, and work closely with product.

The ideal candidate will have strong backend experience in the Node and TypeScript ecosystem. The role is on-site in New York.

This is a Senior Backend Software Engineer opportunity with a Series C New York healthtech company using AI to automate referrals and patient intake. You’ll take technical ownership of core services.

You’ll work in JavaScript and TypeScript, lead design and delivery, and mentor other engineers.

The ideal candidate will have senior backend experience in the Node and TypeScript ecosystem. The role is on-site in New York.

This is a Site Reliability Engineer opportunity with a Series C New York healthtech company using AI to automate referrals and patient intake. You’ll keep a high-growth product fast and reliable.

You’ll work with AWS and Datadog, improve observability and incident response, and automate away repeat problems.

The ideal candidate will have SRE or infrastructure experience in a cloud-first environment. The role is on-site in New York.

This is a Senior Infrastructure Engineer opportunity with a Series C New York healthtech company using AI to automate referrals and patient intake. You’ll own the infrastructure the product runs on.

You’ll work with Kubernetes, AWS, Terraform and Datadog, and improve scale, security and developer speed.

The ideal candidate will have senior infrastructure experience with Kubernetes and infrastructure as code. The role is on-site in New York.

This is a Data Engineer opportunity with a Series C New York healthtech company using AI to automate referrals and patient intake. You’ll build the data platform that supports product and analytics.

You’ll work with Snowflake on AWS and GCP, and build reliable pipelines and models.

The ideal candidate will have solid data engineering experience with Snowflake. The role is based in New York.

This is a Senior Backend Engineer (ML) opportunity with a Series C New York healthtech company using AI to automate referrals and patient intake. You’ll build the backend systems that run LLM-driven workflows.

You’ll work on services that connect models to production, and focus on accuracy, speed and reliability.

The ideal candidate will have senior backend experience and hands-on LLM work. The role is on-site in New York.

This is an AI Software Engineer opportunity with a New York AI company. You’ll build AI-powered product features and ship them to real users.

You’ll work in Python, TypeScript, React and SQL on GCP.

The ideal candidate will be a strong software engineer with applied AI experience. The role is based in New York.

This is a Software Engineer opportunity with a pre-seed New York healthtech company building LLM-powered products. You’ll be an early engineer with a lot of ownership.

You’ll build across TypeScript, React, Python and FastAPI, and work on LLM features end to end.

The ideal candidate will be a strong full stack engineer who is comfortable with ambiguity. The role is on-site in New York.

This is a Backend Engineer (Platform) opportunity with a healthtech AI company. You’ll build the platform services other teams build on.

You’ll work in Go, Java and Python on AWS, GCP and Azure, using Docker and Kubernetes.

The ideal candidate will have strong backend and cloud experience. The role is remote within the US.

This is a Senior Forward Deployed Engineer opportunity with a healthtech AI company. You’ll work with customers to get the product running in real environments.

You’ll build integrations and custom solutions in Go, Python and Java, and bring customer learnings back to the product.

The ideal candidate will have senior engineering experience and enjoys customer-facing work. The role is on-site in New York.

This is a Senior ML Engineer opportunity with a healthtech AI company. You’ll take models from research to production.

You’ll work with Python, TensorFlow and PyTorch on AWS, GCP and Azure, using Docker and Kubernetes.

The ideal candidate will have senior ML engineering experience with production deployment. The role is remote within the US.

This is an ML Engineer opportunity with a healthtech AI company. You’ll build and deploy machine learning systems.

You’ll work with Python, TensorFlow and PyTorch on AWS, GCP and Azure, using Docker and Kubernetes.

The ideal candidate will have ML engineering experience with production deployment. The role is on-site in New York.

This is a Founding Engineer opportunity with a Seed stage New York AI-native healthtech startup. You’ll help shape the product and the engineering culture from the start.

You’ll build full stack in TypeScript, React and Node.js, and put LLMs at the centre of the product.

The ideal candidate will be a hands-on builder who is comfortable with ownership and ambiguity. The role is hybrid in New York.

This is a Member of Technical Staff (Foundation Models) opportunity with a Series A New York AI company applying machine learning to cancer care. You’ll work on the models at the core of the product.

You’ll work with Python, PyTorch and Hugging Face, and train and evaluate large models on clinical data.

The ideal candidate will have a strong foundation model or deep learning background. The role is on-site in New York.

This is a Member of Technical Staff (Research Engineer) opportunity with a Series A New York AI company applying machine learning to cancer care. You’ll turn research ideas into working systems.

You’ll work with Python, PyTorch and Hugging Face, and build training and evaluation pipelines.

The ideal candidate will have strong research engineering experience in deep learning. The role is on-site in New York.

This is a Member of Technical Staff (Computational Pathology) opportunity with a Series A New York AI company applying machine learning to cancer care. You’ll build models that learn from pathology data.

You’ll work with Python, PyTorch and Hugging Face on large imaging datasets.

The ideal candidate will have a strong ML background, ideally with medical imaging or pathology exposure. The role is on-site in New York.

This is a Member of Technical Staff (Causality) opportunity with a Series A New York AI company applying machine learning to cancer care. You’ll work on causal methods that make predictions more trustworthy.

You’ll work with Python, PyTorch and Hugging Face, and design and test causal models on clinical data.

The ideal candidate will have a strong ML or statistics background with causal inference interest. The role is on-site in New York.

This is a Senior Data Platform Engineer opportunity with a Series D healthcare data and analytics company. You’ll build the platform behind one of the largest healthcare datasets.

You’ll work with Python, SQL, Airflow, Spark and AWS to build scalable data systems.

The ideal candidate will have senior data platform experience at scale. The role is based in New York.

This is a Senior Infrastructure Engineer opportunity with a Series D healthcare data and analytics company. You’ll build the infrastructure for data and AI workloads.

You’ll work with AWS, Terraform, GitHub Actions, Snowflake, Databricks and Airflow, with Python and LLM tooling.

The ideal candidate will have senior infrastructure experience in a data-heavy environment. The role is remote within the US.

This is a Senior Infrastructure Engineer opportunity with a Series D healthcare data and analytics company. You’ll own cloud infrastructure and developer platforms.

You’ll work with AWS, Kubernetes, Terraform, GitHub Actions, Docker, Snowflake, Python and Go.

The ideal candidate will have senior infrastructure experience with Kubernetes and infrastructure as code. The role is remote within the US.

This is a Staff Platform Engineer opportunity with a Series D healthcare data and analytics company. You’ll set technical direction for the data and AI platform.

You’ll work with Python, FastAPI, AWS, Snowflake, Airflow, Spark and PostgreSQL, and bring LLMs into the platform.

The ideal candidate will have staff-level platform experience and a record of technical leadership. The role is remote within the US.

This is a Staff Software Engineer (Query Engine, Rust) opportunity with a Series D healthcare data and analytics company. You’ll build the engine that queries healthcare data at scale.

You’ll work in Rust, with Python, C++ and Spark, across Snowflake and Redshift, and bring LLMs into query workflows.

The ideal candidate will have staff-level systems or database engineering experience, with Rust a key skill. The role is remote within the US.

This is a Data Engineer opportunity with a Series B healthtech company using AI on clinical records. You’ll build the pipelines behind a clinical AI product.

You’ll work with AWS, Python, Spark, Dagster, Kubernetes, PostgreSQL, FastAPI and FHIR.

The ideal candidate will have data engineering experience and an interest in clinical data. The role is hybrid in New York or the San Francisco Bay Area.

This is a Senior Data Engineer opportunity with a Series B healthtech company using AI on clinical records. You’ll lead the build of data systems behind a clinical AI product.

You’ll work with Python, Spark, AWS, Dagster, Kubernetes, PostgreSQL, FastAPI and FHIR.

The ideal candidate will have senior data engineering experience, ideally with healthcare data. The role is hybrid in New York or the San Francisco Bay Area.

This is a Senior Backend Software Engineer opportunity with a Series B healthtech company using AI on clinical records. You’ll build the services that deliver AI insight to clinicians.

You’ll work with Python, Go, PostgreSQL, Redis, TypeScript and React on AWS and Docker.

The ideal candidate will have senior backend experience. The role is hybrid in New York or the San Francisco Bay Area.

This is an Analytics Engineer opportunity with a remote US healthtech data company providing clinical data for AI validation. You’ll shape the data models that the whole company uses.

You’ll work with dbt, Snowflake, FHIR and AWS, and bring LLM and RAG tooling into analytics.

The ideal candidate will have analytics engineering experience with healthcare data. The role is remote within the US.

This is an NLP / LLM Data Scientist opportunity with a remote US healthtech data company providing clinical data for AI validation. You’ll work with unstructured clinical data and LLMs.

You’ll work in Python and SQL with PyTorch, TensorFlow and Hugging Face, on data from systems such as Cerner, on AWS.

The ideal candidate will have NLP or LLM experience, ideally with clinical text. The role is remote within the US.

This is a Research Consultant Data Scientist opportunity with a remote US healthtech data company providing clinical data for AI validation. You’ll work with research partners to answer real clinical questions with data.

You’ll work in SQL and Python with FHIR and Cerner data on AWS.

The ideal candidate will have data science experience with healthcare data. The role is remote within the US.

This is a Software Engineer opportunity with a Series A New York healthtech company building AI for patient communication. You’ll build features that patients and front desk teams use.

You’ll work with React, Next.js, TypeScript, Python and FastAPI on AWS, and build with LLMs.

The ideal candidate will be a strong full stack engineer with applied AI interest. The role is hybrid in New York.

This is a Senior Applied AI/ML Engineer opportunity with a pre-seed healthtech company based in New York. You’ll build LLM systems that run in production from early on.

You’ll work in Python and design, evaluate and ship LLM-driven workflows.

The ideal candidate will have senior applied AI experience in production. The role is hybrid in New York, with remote within the US also possible.

This is a Senior Software Engineer (Case Execution) opportunity with a pre-seed healthtech company based in New York. You’ll build the systems that run core case workflows.

You’ll work with Python, Snowflake, dbt and Databricks.

The ideal candidate will have senior engineering experience with data-heavy backends. The role is hybrid in New York, with remote within the US also possible.

This is a Senior Software Engineer (Platform Engineering) opportunity with a pre-seed healthtech company based in New York. You’ll build the platform foundations early.

You’ll work with Python, GCP, Kafka, TypeScript and React.

The ideal candidate will have senior platform or backend experience. The role is hybrid in New York, with remote within the US also possible.

This is a Head of Data Engineering opportunity with a pre-seed healthtech company based in New York. You’ll build and lead the data function from early on.

You’ll set the data strategy, hire a team, and work with SQL and LLM-driven systems.

The ideal candidate will have data engineering leadership experience and wants to build from scratch. The role is hybrid in New York, with remote within the US also possible.

This is a Staff Site Reliability Engineer opportunity with a pre-seed healthtech company based in New York. You’ll build the reliability practice from the start.

You’ll set standards for observability, incident response and infrastructure.

The ideal candidate will have staff-level SRE experience. The role is hybrid in New York, with remote within the US also possible.

This is a Staff Software Engineer (Platform Engineering) opportunity with a pre-seed healthtech company based in New York. You’ll set technical direction early.

You’ll work with Python, GCP, TypeScript and React.

The ideal candidate will have staff-level engineering experience. The role is hybrid in New York, with remote within the US also possible.

This is a Senior Fullstack Engineer (Case Execution) opportunity with a pre-seed healthtech company based in New York. You’ll build the product used to run core case workflows.

You’ll work with React, Python, Snowflake, dbt and Databricks.

The ideal candidate will have senior full stack experience. The role is hybrid in New York, with remote within the US also possible.

This is a Senior Fullstack Engineer (Platform Engineering) opportunity with a pre-seed healthtech company based in New York. You’ll build platform features across the stack.

You’ll work with Python, GCP, Kafka, TypeScript and React.

The ideal candidate will have senior full stack experience. The role is hybrid in New York, with remote within the US also possible.

This is an Engineering Manager (Case Strategy) opportunity with a pre-seed healthtech company based in New York. You’ll lead the team building decision-making and strategy systems.

You’ll work with Python, GCP and LLMs, and grow and manage engineers.

The ideal candidate will have engineering management experience. The role is hybrid in New York, with remote within the US also possible.

This is a Staff Software Engineer (Backend) opportunity with a Series B healthtech company building safety technology for senior living. You’ll set the backend direction.

You’ll work with AWS, DynamoDB, TypeScript, Node.js, React and PostgreSQL.

The ideal candidate will have staff-level backend experience. The role is remote within the US, with a New York option.

This is a Staff Machine Learning Engineer opportunity with a remote US clinical AI company building decision support for hospitals. You’ll lead the ML systems that run in real clinical settings.

You’ll work with Python, SQL, AWS and MLflow, and take models from development into production.

The ideal candidate will have staff-level ML engineering experience with production deployment. The role is remote within the US.

This is a Software Engineer (Data Integration) opportunity with a remote US clinical AI company building decision support for hospitals. You’ll connect the platform to the clinical systems it learns from.

You’ll work with HL7 and FHIR, Python, PostgreSQL and MySQL on AWS and Azure, and bring LLMs into integration workflows.

The ideal candidate will have integration or data engineering experience, ideally with healthcare data standards. The role is remote within the US.

This is a Senior/Staff Machine Learning Data Scientist opportunity with a remote US clinical AI company building decision support for hospitals. You’ll build models that run in real clinical settings.

You’ll work with Python, SQL, PyTorch and Spark on AWS, use MLflow, and work with HL7 and FHIR data.

The ideal candidate will have senior data science experience with production ML, ideally on clinical data. The role is remote within the US.

This is a Director of AI/ML opportunity with a remote US clinical AI company building decision support for hospitals. You’ll lead the AI and ML function and set the technical direction.

You’ll manage and grow the team, shape the roadmap, and work across HL7 and FHIR data on platforms such as Snowflake, Databricks and Redshift.

The ideal candidate will have AI/ML leadership experience in a regulated or healthcare setting. The role is remote within the US.

This is a Software Engineer (Analytics) opportunity with a remote US clinical AI company building decision support for hospitals. You’ll build the analytics that show whether the product works.

You’ll work with Python, SQL, dbt, Tableau and AWS, with LLMs in the mix.

The ideal candidate will have software or analytics engineering experience and a strong data focus. The role is remote within the US.

This is a Software Engineer (Application Integration) opportunity with a remote US clinical AI company building decision support for hospitals. You’ll build the application layer that fits into clinical workflows.

You’ll work with React, TypeScript, PostgreSQL, MySQL and FHIR on AWS and Azure, and use LLMs in the product.

The ideal candidate will have full stack experience, ideally with healthcare integrations. The role is remote within the US.

This is an Infrastructure Engineer opportunity with a remote US clinical AI company building decision support for hospitals. You’ll run the infrastructure behind a clinical product.

You’ll work with Terraform, AWS, Kubernetes, PostgreSQL, MySQL and Datadog.

The ideal candidate will have infrastructure experience and care about security and reliability. The role is remote within the US.

This is an Infrastructure Engineer opportunity with a Seed stage healthtech company building AI-powered care. You’ll build the foundations early.

You’ll work with Terraform and AWS, and across Go, Rust, Java, Python, TypeScript and React as needed.

The ideal candidate will have infrastructure experience and is comfortable across the stack. The role is hybrid in New York or Boston.

This is a Senior Software Engineer (Frontend) opportunity with a Seed stage healthtech company building AI-powered care. You’ll own the interfaces patients and clinicians use.

You’ll work with TypeScript, React, Next.js, Node.js and React Native, and build with LLMs.

The ideal candidate will have senior frontend experience with strong React. The role is hybrid in New York or Boston.

This is a Senior Software Engineer (Backend) opportunity with a Seed stage healthtech company building AI-powered care. You’ll build the services behind the AI.

You’ll work on backend systems and retrieval-augmented generation (RAG), and take features to production.

The ideal candidate will have senior backend experience and applied AI interest. The role is hybrid in New York or Boston.

This is a Software Engineer (Fullstack) opportunity with a Seed stage healthtech company building AI-powered care. You’ll build features across web and mobile.

You’ll work with React, Next.js, TypeScript, React Native, PostgreSQL, Supabase and Tailwind, and use LLMs.

The ideal candidate will be a strong full stack engineer who moves quickly. The role is hybrid in New York or Boston.

This is a Senior Software Engineer (Fullstack) opportunity with a Seed stage healthtech company building AI-powered care. You’ll own large parts of the product.

You’ll work with React, Next.js, Node.js, TypeScript, React Native, PostgreSQL and AWS, and build with LLMs.

The ideal candidate will have senior full stack experience. The role is hybrid in New York or Boston.

This is a Research Scientist opportunity with a Seed stage healthtech company building AI-powered care. You’ll shape how the models behave in medical settings.

You’ll work in Python, JavaScript and TypeScript, evaluate LLMs, and work with FHIR data.

The ideal candidate will have a research background in LLMs or applied ML. The role is hybrid in New York or Boston.

This is an AI Product Engineer opportunity with a Series C New York digital health company providing substance use care. You’ll build AI features that reach members.

You’ll work in TypeScript on AWS and ship LLM-based product features.

The ideal candidate will be a product-minded engineer with applied AI interest. The role is based in New York.

This is an Engineering Manager opportunity with a Series C New York digital health company providing substance use care. You’ll lead a team building member-facing products.

You’ll manage and grow engineers, shape delivery, and work closely with product.

The ideal candidate will have engineering management experience. The role is based in New York.

This is a Senior Analytics Engineer opportunity with a Series C New York digital health company providing substance use care. You’ll build the data models the business runs on.

You’ll work with dbt, Redshift and Looker.

The ideal candidate will have senior analytics engineering experience. The role is based in New York.

This is a Software Engineer opportunity with a New York healthtech company building AI products. You’ll build across the stack.

You’ll work with Python, React, PostgreSQL, Redis and LangChain.

The ideal candidate will be a strong full stack engineer with LLM experience. The role is on-site in New York.

This is a Member of Technical Staff opportunity with a New York healthtech company building AI products. You’ll take broad ownership early.

You’ll work mainly in Python and build across the stack.

The ideal candidate will be a senior generalist who likes ownership. The role is on-site in New York.

This is a Senior AI / ML Engineer (LLMs) opportunity with a Series C insurtech company using AI to support claims. You’ll build LLM systems used by insurance teams.

You’ll work in Python with LLMs and retrieval-augmented generation (RAG).

The ideal candidate will have senior LLM engineering experience. The role is remote within the US or based in New York.

This is a Senior Machine Learning Engineer opportunity with a Series C insurtech company using AI to support claims. You’ll build and run production ML.

You’ll work with PyTorch, Python, Dagster, BigQuery, GCP, Terraform, Spark and Kubernetes.

The ideal candidate will have senior ML engineering experience. The role is remote within the US or based in New York.

This is a Senior Software Engineer opportunity with a Series C insurtech company using AI to support claims. You’ll build features used by claims teams.

You’ll work in Python, TypeScript and JavaScript.

The ideal candidate will have senior full stack experience. The role is remote within the US or based in New York.

This is a Senior Software Engineer (Python) opportunity with a Series C insurtech company using AI to support claims. You’ll build backend services for an AI insurance SaaS product.

You’ll work mainly in Python.

The ideal candidate will have senior Python experience. The role is remote within the US or based in New York.

This is a Staff Data Scientist opportunity with a Series C insurtech company using AI to support claims. You’ll shape how the business measures and improves its models.

You’ll work with SQL, Python, Looker and Tableau.

The ideal candidate will have staff-level data science experience. The role is remote within the US or based in New York.

This is a Staff Software Engineer opportunity with a Series C insurtech company using AI to support claims. You’ll set technical direction for a growing product.

You’ll work in Python, TypeScript and JavaScript, and mentor engineers.

The ideal candidate will have staff-level engineering experience. The role is remote within the US or based in New York.

This is a VP of Engineering opportunity with a Series C insurtech company using AI to support claims. You’ll lead engineering as the company scales.

You’ll set strategy, grow the team, and own delivery across a stack on GCP and AWS that includes LLMs.

The ideal candidate will have engineering leadership experience at scale. The role is remote within the US or based in New York.

This is a Senior Software Engineer opportunity with a Series A New York healthtech company. You’ll build web and mobile products.

You’ll work with TypeScript, React, React Native, PostgreSQL, AWS and Terraform.

The ideal candidate will have senior full stack experience. The role is hybrid in New York.

This is a Product Engineer opportunity with a Seed stage New York company. You’ll build product end to end.

You’ll work with React, React Native, TypeScript, Python and PostgreSQL, and use LLMs.

The ideal candidate will be a product-minded full stack engineer. The role is on-site in New York.

This is a Principal Software Engineer opportunity with a Seed stage New York company. You’ll set the technical direction early.

You’ll work with React, React Native, TypeScript, Python and PostgreSQL.

The ideal candidate will have principal-level experience and wants to build from the start. The role is on-site in New York.

This is a Senior MLOps Engineer opportunity with a Seed stage New York company. You’ll build the ML platform.

You’ll work with Python, Spark, Databricks and MLflow.

The ideal candidate will have senior MLOps experience. The role is on-site in New York.

This is a Machine Learning Engineer opportunity with a Seed stage New York company. You’ll build and ship ML models.

You’ll work with Python, Spark, Databricks and MLflow.

The ideal candidate will have ML engineering experience. The role is on-site in New York.

This is a Staff Software Engineer opportunity with a Seed stage New York company. You’ll lead technical decisions across the stack.

You’ll work with React, React Native, TypeScript, Python and PostgreSQL.

The ideal candidate will have staff-level experience. The role is on-site in New York.

This is a Senior Software Engineer opportunity with a Seed stage New York company. You’ll own features end to end.

You’ll work with React, React Native, TypeScript, Python and PostgreSQL, and use LLMs.

The ideal candidate will have senior full stack experience. The role is on-site in New York.

This is a Senior Data Scientist opportunity with a Seed stage New York company. You’ll turn data into product decisions and models.

You’ll work with Python, SQL and Spark.

The ideal candidate will have senior data science experience. The role is on-site in New York.

This is a Senior Fullstack Engineer opportunity with a New York healthtech company working on clinical data and interoperability. You’ll build across the stack.

You’ll work with Vue, TypeScript, MongoDB, HL7, FHIR and OpenAI on AWS and Azure.

The ideal candidate will have senior full stack experience, ideally with healthcare integrations. The role is hybrid in New York.

This is a Senior Fullstack Engineer (RCM) opportunity with a New York healthtech company working on revenue cycle management. You’ll build tooling that helps providers get paid.

You’ll work with Vue, TypeScript, React, MongoDB, HL7, FHIR and LLMs.

The ideal candidate will have senior full stack experience, ideally in RCM. The role is hybrid in New York.

This is a Senior Full-Stack Engineer (Case Strategy) opportunity with a healthtech company. You’ll build the product that supports case decision-making.

You’ll work across the stack and partner with product and data teams.

The ideal candidate will have senior full stack experience. The role is based in Santa Monica or Williamsburg, or remote within the US.