4153-Director Product-AI Platform

Ovii's Interpretation of the Role

Director of Product for the AI Platform at Innovaccer, leading the end‑to‑end roadmap, delivery, and scaling of AI‑driven healthcare solutions. Owns product strategy, quality standards, and cross‑functional execution while building and growing a high‑performing product team.

Role Snapshot

• Lead AI product roadmap and delivery
• Own AI quality and trust standards
• Drive pilots from research to production
• Partner with engineering and health‑system customers
• Build and scale agent lifecycle management
• Grow and mentor product management team

Must-Have Requirements

• Product management
• AI/ML product ownership
• Healthcare B2B domain knowledge
• LLM‑powered product development
• Prompt engineering & RAG
• Agentic workflow & orchestration
• AI lifecycle management
• Modern data platforms (Databricks, Snowflake, Spark)
• Healthcare data standards (FHIR, HL7, SNOMED, etc.)
• Executive‑level customer communication
• product management
• healthcare B2B domain

Nice-to-Have Signals

• Technical background (engineer‑turned‑PM)
• technical background

Work Setup

• Location: San Francisco, United States
• Work mode: ONSITE
• Travel: Quarterly travel to India
• Employment type: Full-Time

Eligibility Gates

• Work authorization: US work authorization required
• Visa sponsorship: no

Not Specified in JD

• Salary range
• Remote eligibility
• Visa sponsorship

What You'll Likely Work On

• Own the AI product roadmap for Gravity’s Intelligence layer, covering search, agents, orchestration, and explainability.
• Embed with health‑system customers to surface AI gaps, feed insights back into the roadmap, and lead executive briefings.
• Take AI pilots from science projects to enterprise‑grade production, establishing robust AI quality standards.
• Partner with engineering to ship AI features rapidly, using AI‑assisted development practices and removing bottlenecks.
• Define and enforce AI trust mechanisms such as confidence scoring, hallucination thresholds, audit trails, and explainability.
• Develop and scale agent lifecycle management, enabling repeatable build‑test‑deploy‑monitor cycles.
• Evaluate build‑vs‑buy‑vs‑partner decisions for AI orchestration, collaborating with partners like Databricks and LangChain.
• Collaborate daily with India‑based teams and travel quarterly to India to align globally distributed efforts.

Good Fit If You Have

• Proven track record of moving AI products from pilot to production in healthcare or enterprise settings.
• Comfortable working across time zones and traveling internationally for team alignment.
• Strong structured thinking to break ambiguous problems into clear frameworks.