Head of Product
Listed on 2026-03-01
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IT/Tech
Product Designer, AI Engineer
About Autonomize AI
Autonomize AI is the healthcare industry's purpose-built AI platform for automating the complex administrative processes that consume clinicians, payers, and care teams — prior authorization, utilization management, care management, and claims processing. Backed by Valtruis, Cigna Group Ventures, Asset Management Ventures and top-tier VCs, we serve 3 of the top 5 U.S. health enterprises and are scaling aggressively.
We are not building another AI point solution. We are building the operating system for healthcare administration — a platform of AI agents, clinical workflows, and data fabric that replaces manual processes end-to-end. This is a decisive moment for the company and the industry. We need a Head of Product who has been here before and can lead us through it.
Role OverviewThis is a senior, hands‑on leadership role reporting to the CEO. You will own the full product surface — our suite of AI‑powered applications, workflows, Agents and the Autonomize platform, and the product strategy that connects our capabilities to the market. You will work directly with the CEO, GTM, and engineering teams to define what we build, why we build it, and how it wins in the market.
You are not a PM manager who delegates. You are a builder who leads. You have the depth to go deep on a clinical workflow with a CMO, the technical fluency to challenge an engineering architecture with your CTO, and the strategic clarity to build a compelling GTM narrative with your sales team.
Key Responsibilities Product Vision & Strategy- Define and own the multi‑year product roadmap across AI applications and workflows, Agents and platform capabilities
- Translate healthcare market dynamics, customer pain, and competitive signals into a clear product strategy and execution plan
- Own the product narrative — internally and externally — and represent product in board, investor, and enterprise customer conversations
- Lead the evolution of the Autonomize Platform — agent orchestration, workflow engine, integrations (EHR, payer systems, FHIR), and data layer
- Ensure platform architecture supports scalability, configurability, and extensibility for enterprise health plans and provider organizations
- Balance platform investment with application‑layer product delivery — knowing when to build horizontal vs. vertical
- Own the product roadmap for prior authorization, utilization management, care management, and claims AI applications
- Work closely with growth team clinical advisors, customer success, and enterprise clients to ensure workflows reflect real clinical and administrative realities
- Drive AI product quality — accuracy, explainability, auditability — with the rigor required in regulated healthcare environments and partner with the Head of AI to ensure productized delivery of capabilities and roadmap.
- Partner with sales and marketing to define product positioning, packaging, and competitive differentiation
- Build and maintain a deep understanding of competitive landscape — Cohere Health, Olive, Navina, and emerging AI entrants
- Enable the sales team with clear product narratives, demo environments, and ROI frameworks
- Build and lead a high‑performance product team, establishing strong discovery, prioritization, and delivery processes
- Create a culture of evidence‑based decision‑making — grounded in customer data, clinical outcomes, and business metrics
- Operate with speed and rigor appropriate to a Series A company in aggressive growth mode
- 8+ years in product management with a clear track record of building and scaling B2B healthcare technology products
- Deep domain expertise in health plans and/or provider organizations — you have lived inside the workflows of prior authorization, utilization review, care management, or claims
- 0‑to‑1 AND scale experience — you have launched products from scratch and scaled them to meaningful revenue and enterprise adoption
- AI product experience — you have built and shipped AI/ML‑powered products, understand model lifecycle considerations, and can talk technical architecture with engineers…
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