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4153-Director Product-AI Platform

Innovaccer Analytics
CompanyInnovaccer Analytics
CategoryData & Analytics
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentFull-time
LevelDirector
SalaryNot stated by the employer
Posted24 Jun 2026
Last verified10 Aug 2026
SourceEmployer ATS (workable)
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Description
About the Role We are looking for an entrepreneurial product leader as an Director Product (AI Platform) who can chart out and drive product strategy to scale out our abilities to reach and serve millions of users for Gravity platform . You’ll build core data systems, This is a career-defining opportunity to lead & grow the product team responsible for our core platform. You’ll. have a chance to create a positive impact on how work looks and feels for millions of people around the healthcare world. A Day in the Life Own the AI product roadmap for Gravity's Intelligence layer with Search, Agents, Orchestration, Explainability, from backlog to GA, not just strategy docs for Healthcare Tech business Be customer obsessed: embed with health system customers to understand where AI breaks down in production and bring those insights directly back into the roadmap Drive pilots from science project to production, take messy, early-stage deployments and make them look and feel like enterprise-grade products Partner with engineering to ship with velocity, use AI-assisted development practices, hold the team to quality and speed standards, and unblock bottlenecks fast Define and enforce AI quality standards: confidence scoring, hallucination thresholds, audit trails, and explainability; the trust layer is not optional Develop the Agent Lifecycle Management capability with build, test, deploy, and monitor agents at scale so every new customer pilot doesn't start from scratch Evaluate build vs. buy vs. partner decisions on AI orchestration, own the hypothesis, validate with engineering and partners (Databricks, LangChain), and make a recommendation Lead customer-facing AI conversations such as roadmap reviews, pilot kickoffs, trust and explainability deep dives with the ability to translate complex AI concepts into business and clinical value Work across time zones: collaborate daily with India-based engineering and PM teams, travel to India quarterly to build relationships and alignment Develop frameworks and strategies to analyze competitive landscape, potential data partnerships, and opportunities Design for further international expansion so that we can more quickly launch in new markets and with new partners This is an onsite role based in San Francisco, CA, requiring five days a week in the office What You Need Experience & Track Record 10+ years of product management experience, including 4+ years owning AI/ML or intelligent automation products in B2B healthcare or enterprise tech Proven track record of taking AI products from pilot to production, not just demos, but real clinical or operational workflows running at scale Experience leading product managers, with a track record of raising the bar on execution quality and speed Has worked in or closely with health systems, understands EHR workflows, clinical decision support, care management, or revenue cycle operations AI & Technical Depth Hands-on experience with LLM-powered products with prompt engineering, RAG architectures, confidence scoring, hallucination detection, eval frameworks Strong familiarity with agent frameworks and agentic workflow patterns that includes multi-agent orchestration, human-in-the-loop, tool use, memory Experience with AI lifecycle management: versioning, testing, staging/prod promotion, monitoring, and drift detection Comfortable with modern data platforms such as Databricks, Snowflake, Spark, Delta Lake and how they connect to AI pipelines Understanding of healthcare data standards: FHIR R4, HL7v2, SNOMED, ICD, LOINC, CPT, RxNorm or demonstrated ability to ramp fast on regulated domains Technical background preferred; engineers who moved into PM are a strong fit for this role Execution & Leadership Operates with urgency and is comfortable in a fast-moving, high-accountability environment where speed and quality both matter Can hold engineering accountable without being adversa