Lead API & AI Integrations Product Manager - Healthcare

Wolters Kluwer

Massachusetts

On-site

USD 129,000 - 226,000

Full time

8 hours ago

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Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k)

FSA/HSA

Commuter Benefits

Tuition Assistance

Paid Time Off

Paid Parental Leave

Job summary

Wolters Kluwer is seeking a Lead Technical Product Manager in the United States to lead the delivery of APIs, integrations, and embedded applications that bring UpToDate intelligence into the broader healthcare ecosystem. You will own execution for a defined product area, partner with platform and engineering teams, and serve as the go-to product expert for integrations.

Responsibilities include leading API delivery for third-party integrations, embedding UpToDate Expert AI into clinical tools,

Qualifications

6+ years delivering complex software products from problem definition through launch and iteration.
Experience owning execution for a platform, API, integration, or other technical product area.
Strong technical fluency in APIs, distributed systems, authentication & authorization, reliability, SLAs & SLOs, and cloud architecture.
Experience building developer-facing integration capabilities, including APIs, SDKs, documentation, versioning strategies, or sandbox environments.

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.