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Conduct research advancing healthcare AI, including model evaluation, clinical benchmarks, human assessments, health-focused model development, agentic systems, prototyping, and simulations. The role involves pre-training and post-training workflows, research publications, collaboration with clinical and engineering teams, and sharing research practices. Candidates will apply expertise in machine learning, natural language processing, clinical data, and healthcare data standards such as FHIR and OMOP.

Design the end-to-end consumer healthcare experience across mobile and web, from patient questions through prescriptions, labs, referrals, and follow-ups. Establish high standards for visual, interaction, and motion design; simplify complex healthcare workflows; prototype and iterate on 0-to-1 experiences; and evolve the product design system. Collaborate closely with product, engineering, and clinical teams to create trustworthy, intuitive patient experiences.

Build and maintain the company-wide data foundation for FinOps; develop pipelines, dashboards, and operating scorecards; support stakeholders across commercial, finance, clinical ops, and operations; validate metrics with analytics engineers; transform messy datasets into actionable insights and adopt AI-powered workflows to improve efficiency.

Lead frontend design and implementation for patient and physician products, shape frontend architecture (design systems, state, testing, performance), integrate AI/LLM features with backend/ML teams, and deliver polished, accessible, high-performance interfaces in a hybrid NYC/Boston environment.

Lead full‑stack engineering initiatives to build AI-enabled healthcare products. Ship physician-facing web and mobile features, integrate ML/LLM tooling, architect scalable back-end systems and health data pipelines, and collaborate cross-functionally with product, clinical, and research teams.

Full‑stack engineer shipping AI-enabled clinical products. Build physician-facing web and mobile interfaces, integrate ML/LLM features to production, and develop enterprise integrations (EMR, claims, HIE). Collaborate with product, design, clinical, and ML teams to scale infrastructure for hundreds of thousands of users.

Owner of the semantic layer: build and maintain core data models and metrics, run dbt orchestration with CI/CD and testing, implement reverse ETL pipelines, and enforce PHI access controls to keep data HIPAA-compliant.

Own and evolve core backend platform primitives: external APIs, retrieval/search (RAG) infrastructure, unified health data models including time-series, and enterprise integrations to support AI-driven clinical workflows and multi-tenant reliability.

The Growth Product Manager will enhance user engagement and retention by optimizing the onboarding experience, driving usage through product features, and collaborating with marketing on growth strategies.

Own FP&A and strategic finance work: lead budgeting, forecasting, consolidated P&L, and cash flow models; build unit-economics, cohort/retention analyses, and deal models; prepare board/investor materials; support fundraising diligence; partner cross-functionally on market expansion, pricing, and high-priority finance projects while building reporting and automation infrastructure.