Are you passionate about shaping the future of autonomous AI in healthcare? We’re looking for a Senior Product Manager to lead the strategy, design, and execution of agentic AI systems that transform manual clinical workflows into safe, efficient, and intelligent processes.
Job Title: Senior Product Manager, Agentic AI
Job Duration: 6 months (with possible extension)
Job Location: San Francisco California 94080-Hybrid
Working days & Shift: Monday through Friday | Days 8 hours (on site three days, with Tuesday and Wednesday being two of the anchor days, the other one may be determined at a later date)
The Senior Product Manager, Agentic AI will lead the strategy, design, and execution of autonomous and semi-autonomous AI agents within a regulated healthcare environment. This role focuses on transforming manual workflows into AI-orchestrated systems that improve efficiency and quality while adhering to strict clinical safety and compliance guardrails.
Key Responsibilities:
- Product Strategy & Vision: Define the long-term roadmap for agentic AI capabilities, including multi-agent orchestration and personalized digital front-door experiences.
- Workflow Transformation: Identify high-friction manual tasks and decompose them into intents and data dependencies suitable for agentic execution.
- Architecture & Orchestration: Partner with engineering to define agent architecture, including retrieval-augmented generation (RAG), tool usage, memory, and state management.
- Compliance & Governance: Ensure all agent behaviors align with HIPAA, clinical safety standards, and promotional review committee (PRC) requirements.
- Human-in-the-Loop (HIL) Design: Standardize HIL patterns and escalation paths to ensure agents are reliable, auditable, and trustworthy.
- Performance & Observability: Own evaluation frameworks (e.g., LLM-as-a-judge) and track KPIs related to resolution accuracy, engagement, and operational efficiency.
Minimum Qualifications
- Education: Bachelors degree in CS, Engineering, Mathematics, or a related technical field.
- Experience: 7+ years of product management experience, with at least 2-5 years focused on AI/ML systems or intelligent automation.
- Technical Fluency: Practical understanding of LLMs, agentic frameworks (e.g., LangChain, AutoGen), and Model Context Protocol (MCP).
- Systems Thinking: Ability to translate ambiguous business problems into structured technical requirements and execution plans.
Preferred Qualifications
- Regulated Industry Experience: Proven track record of deploying AI solutions in healthcare, life sciences, or financial services.
- Platform Scaling: Experience building internal AI infrastructure or platforms used by multiple cross-functional teams.
- Clinical Knowledge: Familiarity with clinical safety standards, EHR integrations (e.g., FHIR APIs), and healthcare-specific compliance.