Staff Product Manager, AI for Care

Verily•San Bruno, CA

9d•$169,500 - $254,500

About The Position

Verily Health is seeking a Staff Product Manager to own the product strategy for its AI Platform, which provides capabilities for first- and third-party AI developers to benchmark, evaluate, monitor, and improve healthcare AI experiences. The initial major initiative is the AI Evaluation Harness, covering evaluation approaches such as golden-dataset evaluations, code assertions, LLM-as-a-judge evaluations, error analysis, and customer feedback signals. The work ranges from quick checks to long-running validation for regulated use. The role will define a 12-month strategy and longer-term vision for the AI Platform in healthcare, then lead a team of software engineers and AI developers in building the platform. The product should support developers across customers, verticals, and clinical risk levels, while aligning with existing platform capabilities and healthcare business constraints. The position requires close, hands-on collaboration with engineering, data science, and subject matter experts across clinical, regulatory, quality, security, and data science disciplines.

Requirements

At least 5 years of product management experience on platform products.
Experience embedded with engineering scrum teams and a record of shipping and operating products.
Hands-on experience shipping AI evaluation tooling used by customers, such as LLM-as-a-judge frameworks, golden datasets, code assertions, and trace tooling; able to describe products, hard problems solved, and adoption and quality outcomes.
A technical background in software engineering, systems engineering, data science, clinical informatics, or a comparable discipline.
Ability to review architecture with engineers and discuss LLM behavior in depth with data scientists.
Experience aligning technical and non-technical leaders around a product vision, including resolving disagreements and moving conflicted groups to decisions.
Experience owning a multi-tenant, version-controlled platform in a high-growth environment, including tenancy, versioning, and backward-compatibility tradeoffs.
Must not require employer-sponsored work authorization now or in the future for employment in the United States.

Nice To Haves

Healthcare domain fluency, including FHIR resources, clinical informatics, and interoperability standards; understanding what constitutes a correct clinical output and who must approve it.
Experience navigating HIPAA, GxP, FDA SaMD, or other healthcare compliance frameworks, ideally with validation or audit evidence built into a product.
Experience building evaluations for clinical or high-stakes AI outputs such as summarization, coding, triage, or decision support, including clinician-in-the-loop labeling and adjudication.

Responsibilities

Build evaluation tools for AI developers across multiple customers, verticals, and clinical risk levels, focusing on platform capabilities rather than point solutions.
Identify end users, map user journeys, understand unmet needs, and continuously conduct discovery, delivery, and iteration to create end-to-end user value.
Partner with software architects, engineers, and data scientists on architecture and AI tradeoffs; align solutions with existing platform capabilities and extend them in scalable ways.
Work with clinical, regulatory, quality, security, and data science experts to right-size and de-risk solutions within healthcare business constraints.
Own the AI Evaluation Harness portfolio and roadmap across error analysis, golden datasets, code assertions, LLM-as-a-judge evaluations, and customer feedback signals.
Align stakeholders when interests conflict and own product strategy and prioritization.
Communicate product direction at different levels of detail and time horizons, including 12-month strategy, half-year milestones, quarterly delivery roadmaps, and biweekly sprint priorities.
Set direction, sequence work, and remain hands-on with the scrum team.