Product Manager, AI Platform

Autonomize AI is seeking a hands-on Product Manager to lead platform discovery and own Context AI, including the Healthcare Context Graph, enterprise extensions, provenance and freshness, and the APIs developers use to build AI agents. This role reports to the VP of Product and operates with direct customer and engineering collaboration.

Role Overview

This is a hands-on product role reporting to the VP of Product. You will own Context AI, including the Healthcare Context Graph and enterprise extensions customers use to layer in their own terminology, policies, formularies, and fee schedules. You will also own the provenance and freshness components and the APIs, SDKs, and MCP access that agents and developers build on.

You will also lead customer discovery for the AI platform. This position is not a backlog management role.

Responsibilities

• Run a weekly discovery rhythm with payer and PBM data, analytics, architecture, and AI leaders.
• Identify costly decision points where teams maintain their own rules, mappings, and retrieval, then rank opportunities by customer and business value.
• Bring field signal from Sales, pre-sales, and forward deployed engineers into the roadmap every week.
• Own the Context AI roadmap, including graph coverage across codes, crosswalks, coverage policy, payment rules and drug data, plus ontology editing, approvals, change history, and source connections.
• Run customer pilots with success criteria defined up front, and translate proven approaches into product.
• Decide what to build next and what to stop doing.
• Define what engineers, partners, and customer builders need to create agents and apps on the platform, including APIs, SDKs, MCP access, documentation, and onboarding.
• Measure adoption and reduce friction that slows builders down.
• Write PRDs, acceptance criteria, and evals for data quality, retrieval accuracy, and freshness.
• Set and maintain the release rhythm with engineering.
• Provide Sales and Marketing with positioning, packaging inputs, and proof points for Context AI.
• Join technical customer conversations when a deal requires a product voice.

Requirements

• 5+ years in product management, including B2B data, AI, or platform products shipped to enterprise customers.
• A track record of customer discovery that changed what a team built.
• Experience shipping APIs, SDKs, or developer platforms that other teams build on.
• Healthcare payer or PBM experience strongly preferred, especially with reference data such as code sets, coverage policy, formularies, or fee schedules.
• Working knowledge of knowledge graphs, ontologies, semantic layers, retrieval, and how LLM agents use context.
• Familiarity with MCP, REST APIs, and data catalogs, plus comfort writing SQL.
• Familiarity with healthcare code sets and data standards such as ICD-10, CPT/HCPCS, NDC, FHIR, and X12.

Technologies

• MCP
• REST APIs
• SQL
• ICD-10
• CPT/HCPCS
• NDC
• FHIR
• X12

Success Metrics After One Year

• Production adoption: Context AI running in production at multiple customers beyond pilot, using their own policies and terminology.
• Pilot conversion: Pilots convert to paid, with written success criteria.
• Platform pull: An increasing number of agents and customer-built agents call Context AI by default.
• Discovery system: Each roadmap item traceable to a customer problem.
• Trusted data: Published accuracy and freshness metrics, with provenance on every answer.

Mindset

• Driver, not a passenger: you pick up the problem and lead without waiting to be asked.
• Comfort with ambiguity: you move from chaos to structure without slowing down.
• Customer curiosity: you go to customers first and return with problems rather than feature requests.
• Bias for action: ships, measures, iterates, and makes decisions with imperfect information while owning outcomes.
• Simplifies and drives clarity: make complex infrastructure understandable to both payer executives and engineers.
• Honesty and humility: transparent, low-ego, customer-leaned, and truth-seeking.

Benefits

• Competitive compensation and meaningful equity.
• 100% employer-paid medical, dental, and vision insurance.
• 401(k).
• Disability insurance.
• Employee assistance programs.
• Direct work with experienced founders, engineering leaders, and the largest health enterprises in the U.S.
• High ownership in a consequential chapter of healthcare AI.

Location

In person in Austin, TX.

How to Apply

Send your resume and a brief note to [email protected] describing a customer insight that changed what you built.