Lead Healthcare API & Embedded AI Products

Wolters Kluwer

Richmond (VA)

On-site

USD 129,000 - 226,000

Full time

4 days ago

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Benefits offered by this job

Medical, Dental, Vision plans

401(k) matching

Tuition assistance

Job summary

Wolters Kluwer seeks a Lead Technical Product Manager to guide API, integration, and embedded application initiatives that bring UpToDate intelligence into healthcare. You will own defined product outcomes, partner with engineering, and deliver capabilities adopted by partners with reliable production readiness.

The role emphasizes leading cross-functional teams, shaping API governance, and driving AI-enabled capabilities within regulated clinical workflows.

Qualifications

6+ years delivering complex software products from problem definition through launch and iteration.
Experience owning execution and outcomes for a platform, API, integration, or other technical product area.
Strong technical fluency in APIs, distributed systems, authentication and authorization, reliability, SLAs and SLOs, and cloud architecture.
Experience building developer-facing integration capabilities, including APIs, SDKs, documentation, versioning strategies, or sandbox environments.
Experience using Jira, Confluence, and GitHub to manage product backlogs, document requirements and decisions, and collaborate effectively with different internal teams.
Experience delivering products that integrate into enterprise or clinical workflows.
Experience shipping production AI-enabled capabilities, including approaches to evaluation, monitoring, guardrails, and operational readiness.
Strong product judgment in regulated or high-trust environments.
Ability to lead through influence across technical and business stakeholders.

Responsibilities

Own execution and outcomes for defined API, integration, embedded application, and agentic AI capabilities.
Lead the delivery of APIs that enable third-party products and partners to integrate UpToDate intelligence.
Lead the delivery of applications that embed UpToDate Expert AI into existing clinical tools, including electronic health record systems.
Translate partner, product, and clinical workflow needs into clear product and platform requirements.
Recommend and manage roadmap sequencing, dependencies, and tradeoffs for the assigned product area.
Serve as the portfolio’s integration product expert, advising other product teams on integration approaches and shared platform capabilities.
Apply and improve standards for API governance, lifecycle management, versioning, reliability, and developer experience.
Define requirements for AI quality, safety, evaluation, monitoring, and operational readiness.
Partner closely with Engineering, Architecture, Data, Security, Privacy, Legal, and other enterprise stakeholders.
Communicate priorities, decisions, dependencies, and risks clearly to senior leaders and cross-functional teams.
Identify recurring partner needs and turn them into reusable capabilities, reference patterns, templates, and self-service tools, reducing one-off engineering.
Own the discovery, technical readiness, sandbox onboarding, testing, launch, production monitoring, upgrades, and deprecation.