About Verily Health Inc.

At the intersection of technology, data science, and healthcare, Verily Health transforms complex health data into trusted intelligence, enabling health solutions that are more personal, predictive, and precise.

Verily’s flagship Governed Health Intelligence platform, Verily Pre, enables healthcare organizations to responsibly govern, model, and securely activate their protected health data at scale, deploying intelligence with the scientific rigor, oversight, and auditability needed for healthcare.

Description

Verily Health builds healthcare solutions for customers in every vertical in the market from life sciences to health systems to health plans and to patients. Each of those solutions is powered by AI capabilities. where we need to continually verify that the output is meeting the needs of our end users.

You’ll own the product strategy for Verily’s AI Evaluation Harness, the capabilities that first- and third-party AI developers use to benchmark, evaluate, monitor, and improve AI in healthcare. It spans golden-dataset evals, code assertions, LLM-as-a-judge evals, error analysis, and customer feedback signals, from quick one-off checks to long-running validation for regulated use.

You’ll set a 12-month strategy and a longer vision for what evaluation becomes in healthcare, then lead a team of software engineers and AI developers, working beside them every day, to build it. The standard you set will shape how trustworthy healthcare AI gets made at Verily and beyond. We’re looking for someone who has built evaluation products before and wants to define how the healthcare industry does it.

Responsibilities

• Build a platform, not a point solution. Build evaluation tools for AI developers across many customers, verticals and clinical risk levels.  
• Obsess about user value.  Name your end users, map their journeys, deeply understand their unmet needs, and conduct continuous discovery, delivery, and iteration with your team.   You are directly responsible for end to end user value creation.
• Build on Platform with technical credibility. Work as a peer with software architects, engineers, and data scientists on architecture and AI tradeoffs. Align solutions with Verily’s existing platform capabilities, and work with other teams to extend those capabilities in ways that scale the platform rather than create one-offs.
• Compliance in healthcare. Align with subject matter experts across clinical, regulatory, quality, security, and data science to right-size and de-risk solutions for the business constraints we must operate within.
• Own product strategy and prioritization. Develop and communicate at different levels of detail and time horizon based on the audience; 12-month product strategy, half-year milestones, quarterly delivery roadmap, and biweekly sprint priorities. Set the direction, sequence the steps, and stay hands-on with the scrum team.
• Own the AI Evaluation Harness portfolio. Drive the roadmap across error analysis, golden datasets, code assertions, LLM-as-a-judge, and customer feedback signals, and align stakeholders when interests conflict.

Qualifications

Minimum Qualifications

• 5+ years of product management on platform products. You have been embedded with engineering scrum teams, and have a record of shipping and operating the product, not just specifying it.
• Hands-on AI Evaluation product experience. You have shipped AI evaluation tooling that customers use (LLM-as-a-judge frameworks, golden datasets, code assertions and trace tooling). You can name the products, describe in detail the hard problems you solved, and show the adoption and quality outcomes for end users.
• Deep technical foundation. You have a background in software engineering, systems engineering, data science, clinical informatics, or a comparable discipline. You can review architecture with engineers and go deep on LLM behavior with data scientists and be technically credible with them.
• Stakeholder negotiation. You have aligned technical and non-technical leaders around one product vision, and can give examples where you moved a conflicted group to a decision.
• Scale and complexity. You have owned a multi-tenant, version-controlled platform in a high-growth environment, with real tenancy, versioning, and backward-compatibility tradeoffs.

Preferred Qualifications

• Healthcare domain fluency: FHIR resources, clinical informatics, and interoperability standards. You know what a “correct” clinical output requires and who must sign off on it.
• Regulated environments: experience navigating HIPAA, GxP, FDA SaMD, or other healthcare compliance frameworks, ideally including building validation or audit evidence into a product.
• Clinical Specific AI - Experience building evals for clinical or high-stakes AI outputs (summarization, coding, triage, decision support), including clinician-in-the-loop labeling and adjudication.

Qualified candidates must be legally authorized to work in Canada. Verily is currently unable to offer employment-based visa or work permit sponsorship for this position.

Compensation Information

The CAN base salary range for this full-time position is $132,500-$149,000 + bonus  + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in CAN role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.