HealthVerity
Senior Director, Applied AI Product
Philadelphia, PA · Director · Full-time
Sponsorship not specified$200k-$250kDetected 8 days ago
Machine LearningData ScienceLLMsRAGA/B TestingComplianceProduct ManagementProduct StrategyEmployment LawCustomer SuccessHIPAALeadershipCommunicationCollaborationMentoring
About the role
- We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
- For certain roles, we also hire from hub locations -regions where we have an established presence with multiple team members working remotely.
- Due to tax and labor regulations, we can only hire from specific states.
Responsibilities
- Lead discovery to validate AI use cases against real customer problems and value
- Partner with AI Engineering and Data to assess feasibility and model readiness
- Own end-to-end delivery of AI product features from concept to general availability
- Design human-in-the-loop experiences, guardrails, and fallback behaviors for AI features
- Drive iterative launches, experimentation, and continuous improvement post-release
- Partner with Engineering, Data, and Commercial teams to ship AI capabilities
- Coordinate build vs. buy decisions for AI product capabilities with architecture teams
- Support sales, marketing, and customer success with positioning and enablement for AI products
- Hire, develop, and retain a high-performing AI product management team
- Collaborate cross-functionally with Engineering, Design, Data Science, Security, and Legal teams
Requirements
- 10+ years in product management, with a demonstrable track record in senior AI or data product leadership
- Experience taking AI-powered products from discovery to production at scale
- Hands-on experience partnering with engineering and data science teams on ML/LLM-driven features
- Familiarity with AI governance standards (NIST AI RMF, EU AI Act, SOC 2 AI controls)
- Prior experience defining evaluation frameworks and quality metrics for AI product experiences
- Strong communication skills; able to present product strategy to executive and non-technical audiences
- Familiarity with LLM product patterns (RAG, agents, guardrails, human-in-the-loop design)
- Background in the healthcare industry
- Applied AI product roadmap published and approved by executive leadership within 90 days
- AI product features shipped to general availability against committed timelines
- Product discovery and evaluation framework for AI features in place within 6 months
- Adoption and customer value targets defined and met for launched AI capabilities
Compensation
- competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
Benefits
- We offer health, dental, and vision coverage starting on day 1.
- We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- At HealthVerity, we're working towards an innovative and connected future for healthcare data and believe the future is better together.
- Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Communicate product vision, roadmap progress, and tradeoffs to executive stakeholders
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area.
Company info
- Engage customers and prospects to surface needs, validate concepts, and gather feedback
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This listing is sourced directly from HealthVerity's careers page and normalized into a canonical job model.