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

Serves as a strategic and hands-on HR partner to leaders and managers, providing coaching on performance, employee relations, organizational effectiveness, compensation, talent planning, and workforce decisions. Owns company-wide performance and compensation programs, develops scalable People processes, analyzes employee data, supports compliance and immigration matters, and acts as deputy to the People Lead in a fast-growing AI healthcare company.

Own the AI Hub’s vision, strategy, and roadmap for AI-powered specialty pharma patient support. Define AI-human workflows, automation strategy, safety controls, metrics, and customer-facing product capabilities across benefit verification, prior authorization, enrollment, financial assistance, and adherence. Lead cross-functional collaboration across engineering, AI/ML, operations, clinical, compliance, implementation, sales, and customer success while mentoring other product managers and driving measurable patient and customer outcomes.

The AI Full Stack Engineer will design and build AI-powered healthcare products, oversee backend and frontend development, and influence technical direction in a collaborative, fast-paced environment.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

Own enterprise customer accounts from onboarding through renewal and expansion. Monitor customer health, usage, and outcomes; conduct QBRs; drive adoption and growth; support integrations, workflow design, launches, and training; maintain CRM and billing records; resolve issues cross-functionally; advocate for customers; and build relationships with technical and executive stakeholders.

Lead end-to-end technical delivery of AI agent and copilot solutions for pharma, payer, and provider clients. Manage integrations (CRM, EMR, data platforms), run pilots, coordinate cross-functional teams, track milestones/risks, lead client technical sessions, and support QA/UAT, go-live, and hypercare while improving implementation playbooks.