Note: The job is a remote job and is open to candidates in USA. Headspace is building an AI-first care ecosystem for mental health support, seeking a Senior Product Manager to lead the Provider Core domain. The role involves managing provider-facing products, enhancing clinical enablement through AI, and ensuring effective cross-functional collaboration to improve care delivery.
Responsibilities
- Own the provider-facing product surface through which Headspace provider teams deliver care. Define the tooling, workflows, and data access capabilities that give providers the right member context, assessment history, and engagement signals to deliver high-quality, informed care at scale
- Build ambient clinical intelligence tools that automate note-taking and documentation, drastically reducing administrative burden. You will define the "AI-in-the-room" experience, ensuring it meets clinical safety and quality bars
- Develop intelligent scheduling workflows that optimize supply and demand. You will build the logic for automated provider-patient matching and appointment management that prioritizes clinical fit over simple availability
- Define the product requirements for our smart EHR interface. You will also lead the experience build that extracts clinical insights from partner systems, enabling Headspace to operate as an intelligent node in the larger healthcare network
- Partner consistently with clinical leadership, engineering, legal, compliance, and health plan stakeholders to ensure all data exchange protocols, escalation frameworks, and provider tooling meet applicable regulatory and clinical standards
- Define and track metrics that reflect the health of this domain including provider tooling readiness, referral coordination flow automation, and interoperability readiness
Skills
- 3-5+ Years of PM experience: You have successfully shipped products in health-tech, specifically in provider tooling, care coordination, or EHR/interoperability
- Technical Acumen (Proficient): You can speak fluently with engineers about model latency, data pipeline architecture, and the trade-offs between buy vs. build for AI integrations. You can write robust non-functional requirements
- AI/Agentic Fluency: You understand the nuance of using AI/ML and LLMs in clinical environments specifically, how to handle human-in-the-loop constraints and ensure AI output is safely surfaced to clinicians
- Builder DNA: You are comfortable working with tools like Figma, Replit, or low-code environments to vibe-check a feature before a single line of production code is written
- Collaboration: You have experience bridging the gap between clinical risk/compliance teams (who need guardrails) and engineering teams (who need to move fast)
- Experience in digital health, behavioral health, or care navigation platforms
- Familiarity with EAP (Employee Assistance Program) clinical protocols and their intersection with broader mental health care pathways
- Prior experience with provider marketplace or referral network products
- Exposure to FHIR, HL7, or other clinical interoperability standards
Benefits
- Equity
- Benefits
- Base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave
- Hybrid model, with 3 days per week in office to support in-person collaboration (for San Francisco Bay Area residents)
- Remote work (for New York City and Seattle residents)
- Recruiter will provide more details on the specific salary range for your location during the hiring process
Company Overview