Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and scale backend and full‑stack systems powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end features, design APIs and data models, solve scheduling/dispatch challenges, integrate with external health systems and medical devices, and own projects from 0→1 while collaborating with product, data, ops, and clinical teams.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

Lead and grow an 8–12 engineer full‑stack team, provide technical direction and unblockers, recruit and develop talent, partner with Product/Operations/Data, and shape team structure and processes to scale high-growth healthcare home‑visit services.

Design, build, and scale backend services, APIs, and full-stack features powering patient booking, clinician routing, logistics, and device integrations. Solve scheduling, dispatch, safety, and clinical-error prevention challenges, integrate external health systems and medical devices, and own projects 0→1 while collaborating with product, data, ops, and clinical teams.

Design and implement large-scale routing, scheduling, forecasting, and simulation systems to optimize clinician dispatch and capacity. Prototype and productionize optimization and predictive models, collaborate with product and ops, and own end-to-end projects in a distributed environment.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, integrate external health systems and medical devices, solve operational challenges at scale, and collaborate with product, data, ops, and clinical teams to deliver secure, reliable production software.

Build actuarial and health-economic models (total cost of care, PMPM, MLR) from claims to project multi-year cost and utilization impacts, quantify uncertainty, support commercial pricing, defend analyses to payer actuaries, partner on causal/expt design, and produce outputs usable for pricing/reserving.

Build and maintain production ML systems: training and inference pipelines, model packaging and serving, feature pipelines, monitoring for drift and degradation, automated retraining, and reproducibility/versioning across data and models.

The Technical Talent Sourcer will build candidate pipelines for technical roles, collaborate with recruiters, manage interview scheduling, and maintain records in ATS.

Convert ambiguous healthcare and operational problems into well-scoped ML/AI, ranking, optimization, NLP, or LLM tasks; build and evaluate models, run error analysis, design honest evaluations, partner with engineering and clinical stakeholders, and productionize reliable models with clear communication of tradeoffs and limitations.