Lead Technical Product Manager | Healthcare | APIs, Integrations, & Embedded AI Solutions

Role overview Lead execution for a defined technical product area that brings clinical decision support into partner products and existing care workflows. The work spans APIs, integrations, embedded applications, and AI-enabled capabilities, with a focus on making them useful to partners, dependable in production, and straightforward for developers to adopt.

Responsibilities - Own delivery and outcomes for assigned API, integration, embedded application, and agentic AI capabilities. - Translate partner needs, product goals, and clinical workflows into clear platform and product requirements. - Set roadmap priorities, manage dependencies and tradeoffs, and communicate decisions and risks to leaders and delivery teams. - Guide integration approaches across the product portfolio and promote reusable patterns, templates, and self-service tools. - Establish and improve API governance, lifecycle, versioning, reliability, and developer experience practices. - Coordinate discovery, technical readiness, partner sandbox onboarding, testing, launch, production monitoring, upgrades, and retirement. - Define AI quality, safety, evaluation, monitoring, and operational readiness needs in partnership with engineering and relevant enterprise teams.

Requirements - Six or more years delivering complex software products from problem definition through launch and iteration. - Experience owning outcomes for a platform, API, integration, or similarly technical product area. - Strong understanding of APIs, distributed systems, authentication and authorization, cloud architecture, reliability, and service objectives. - Experience creating developer-facing integration capabilities such as APIs, SDKs, documentation, versioning plans, or sandboxes. - Experience shipping products into enterprise or clinical workflows and production AI-enabled capabilities, including evaluation, monitoring, guardrails, and operational readiness. - Ability to lead through influence across technical and business partners, with sound judgment in regulated or high-trust settings. - Familiarity with Jira, Confluence, and GitHub for backlog management, decision records, and cross-team collaboration.

Nice to have - Background in software engineering, architecture, site reliability, or B2B platform development. - Healthcare or EHR integration experience, including interoperability approaches such as SMART on FHIR, OAuth 2.0, or OpenID Connect. - Familiarity with AI observability, evaluation pipelines, or AI incident response.

Benefits and work setup - Compensation range is $128,900–$226,050 USD, with bonus eligibility; the offer depends in part on skills, experience, and work location. - Benefits include medical, dental, and vision coverage, retirement savings, flexible spending or health savings accounts, commuter support, tuition assistance, vacation and sick time, and paid parental leave.