Senior Director, Applied AI Product

HealthVerity•Philadelphia, PA

1d•Hybrid

About The Position

The Senior Director of Applied AI Product leads the organization's applied AI product function, spanning product strategy, discovery, delivery, and the roadmap for AI-powered customer-facing capabilities. This role sits at the intersection of product leadership and applied AI, and is accountable for how AI experiences are envisioned, shaped, and delivered into products that create measurable value for customers and the business.

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
Strong communication skills; able to present product strategy to executive and non-technical audiences

Nice To Haves

Familiarity with LLM product patterns (RAG, agents, guardrails, human-in-the-loop design)
Familiarity with AI governance standards (NIST AI RMF, EU AI Act, SOC 2 AI controls)
Background in the healthcare industry
Prior experience defining evaluation frameworks and quality metrics for AI product experiences

Responsibilities

Identify opportunities to apply AI across the product portfolio and customer workflows
Translate organizational objectives into phased, deliverable AI product initiatives
Communicate product vision, roadmap progress, and tradeoffs to executive stakeholders
Lead discovery to validate AI use cases against real customer problems and value
Define product requirements, success criteria, and acceptance thresholds for AI features
Partner with AI Engineering and Data to assess feasibility and model readiness
Prioritize the backlog based on customer impact, effort, and strategic fit
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
Define evaluation criteria and quality bars for model-driven product experiences
Drive iterative launches, experimentation, and continuous improvement post-release
Partner with Engineering, Data, and Commercial teams to ship AI capabilities
Align product, GTM, and delivery timelines across dependent teams and stakeholders
Coordinate build vs. buy decisions for AI product capabilities with architecture teams
Serve as the connective tissue between technical AI work and customer-facing outcomes
Engage customers and prospects to surface needs, validate concepts, and gather feedback
Monitor the competitive and market landscape for emerging applied AI capabilities
Support sales, marketing, and customer success with positioning and enablement for AI products
Translate customer signals into roadmap priorities and product improvements
Hire, develop, and retain a high-performing AI product management team
Establish product standards: discovery rigor, spec quality, metrics definition, and launch readiness
Foster a culture of customer-centricity, iterative experimentation, and responsible AI practices
Collaborate cross-functionally with Engineering, Design, Data Science, Security, and Legal teams
Embed responsible AI principles covering fairness, transparency, and explainability into products
Ensure AI features comply with applicable data privacy regulations (HIPAA, GDPR, CCPA as relevant)

Benefits

Competitive base salary & annual bonus opportunity
Health, dental, and vision coverage starting on day 1
401(k) plan
Equity program, with new hire equity grants beginning at the Director level and above
Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area
Generous PTO (targeted at 4 weeks per year, including vacation, personal and sick time)
12 weeks paid leave for childbearing, surrogacy, and adoption
6 weeks paid leave for non-childbearing parents
Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources
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