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

Lead a new healthcare AI use case from problem discovery through deployment, piloting, and scaled adoption across hospital partners. Define clinician problems, prototype solutions, establish clinical safety and success metrics, validate assumptions with data, influence pricing and packaging, and create repeatable product-development playbooks. The role works closely with the CEO, clinicians, data scientists, development-partner hospitals, and founding team.

Lead clinical implementations for HealthLeap across health systems, from planning through go-live and sustained adoption. Build trust with clinical leaders and frontline teams, design training, identify workflow barriers, measure impact, influence product decisions, validate new capabilities, and represent the company at conferences and site visits. The role requires substantial inpatient clinical experience, change leadership, data fluency, comfort with ambiguity, interest in AI, and regular travel.

Build and operate production data pipelines that ingest, transform, validate, and deliver messy clinical data for machine learning, analytics, and clinician-facing APIs. Own data contracts, monitoring, backfills, failure recovery, and troubleshooting across systems. Collaborate with integration, ML, and product engineering teams to ensure reliable data delivery across hospital deployments.

Lead concurrent technical implementations for hospital customers from requirements through go-live and stabilization. Translate clinical workflows into technical requirements, inspect SQL extracts and API data, validate integrations, coordinate engineers and hospital stakeholders, manage risks and dependencies, and improve deployment processes. The role begins as a senior individual contributor and will build an implementation team over time.

Build and operate hospital integrations, including APIs, authentication, data mapping, monitoring, and production data pipelines. Work directly with hospital IT and clinical teams to investigate problems, develop customer tools and analytics, and turn recurring needs into reusable connectors and product features. The role requires strong backend, API, data modeling, and SQL skills, plus ownership of complex third-party integrations and customer workflows.

Lead healthcare product discovery and delivery from clinician problems to shipped products. Engage clinicians, define requirements, coordinate hospital, customer success, and engineering teams, manage dependencies and deadlines, prototype with AI coding tools, investigate SQL and API issues, and make technical product decisions. The role focuses on launching new products, expanding existing customer features, and maintaining clear communication across stakeholders.

Build and maintain HealthLeap's clinician-facing dashboard and backend services. Own features end-to-end, handle messy clinical data and explainability, implement feature flags and auth at scale, and ship production systems deployed in major hospitals.

Lead account-based and content marketing for target health-system accounts. Own account intelligence, ABM programs, digital engagement, customer proof, sales enablement, PR, and marketing operations to accelerate opportunities and arm internal champions.

Own retention, renewal, and expansion for a portfolio of health system partnerships. Build executive relationships, define clinical, operational, and financial success metrics, lead business reviews, identify risks, support adoption, and represent customer needs in product and data science decisions. Help develop scalable customer success playbooks in a fast-growing healthcare AI company.

Lead regional enterprise sales to hospitals and health systems: generate introductions, manage complex consultative deals through pipeline to close, negotiate contracts, transition clients to implementation, and support expansion and upsells while maintaining daily CRM hygiene (Salesforce).