Product Manager, Healthcare AI (Austin based)

Autonomize, Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation and equity

Employer-paid health insurance (med/dx

401(k) with matching and disability

Job summary

Autonomize AI in Austin, TX is hiring a hands-on VP/Head of Product for payer/PBM workflows. You own a set of healthcare-native apps and AI agents, define what to build, and design how we test and prove safety in production.

You will map clinician workflows, translate insight into prioritized roadmaps, and lead cross-functional teams from concept to release with strict governance and measurable patient and payer outcomes.

Qualifications

• 5+ years in product management, with B2B healthcare technology products shipped to enterprise customers
• Deep domain expertise in payer or PBM operations. You have lived inside the workflows: prior authorization, utilization review, appeals, claims or pharmacy benefit
• Experience shipping AI/ML-powered products, including defining how they are tested and measured
• Startup or high-growth experience
• Working knowledge of LLMs and agentic AI systems, and how evals, confidence thresholds and human-in-the-loop review work in practice
• Familiarity with healthcare data standards (FHIR, HL7, X12, NCPDP) and regulatory rules that shape payer workflows (CMS turnaround times, NCQA)

Responsibilities

• Spend real time with clinical and operations users and map each workflow end to end: volumes, handoffs, turnaround rules and regulatory constraints
• Bring that insight back as clear problem statements, not feature lists
• Own a single ranked backlog for your apps that weighs customer commitments, revenue, autonomy progress and effort
• Keep Sales, delivery and engineering working from the same list, and explain every no
• Define evals, gold datasets, acceptance criteria and confidence thresholds with our clinical team
• Run UAT with customers and track accuracy, turnaround time, auto-determination rate and overturn rate
• Hold the bar: no release ships without passing its regression suite
• Design how reviewers work alongside agents: exception queues, evidence and rationale on screen, easy override and clean handoff to a clinician
• Move each app from AI that assists people toward agents that run the work end to end, with guardrails
• Work with forward deployed engineers so what we build for one customer becomes part of the reference app
• Run release notes and roadmap reviews customers can plan around
• What success looks like after one year: outcomes in production, autonomy progress, testing discipline, trusted roadmap, customer voice

Skills

Product management

Healthcare technology

Enterprise software

Startup experience

AI/ML products

Tools

LLMs

AI agent architectures

Job description

5-10

Austin

Full-Time

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. Our healthcare apps put that platform to work on the payer and PBM workflows where the most time and money are lost.

Role Overview

This is a hands-on product role reporting to the VP of Product. You own a set of healthcare-native apps and AI agents for payer and PBM workflows such as utilization management and prior authorization, appeals and grievances, payment integrity, and pharmacy and formulary operations. You decide what gets built next, and you design how we test and prove each agent works safely in production.

You have the depth to sit with a UM nurse or a pharmacist and map their day, the rigor to design an eval a clinical reviewer would sign off on, and the judgment to say no when a request does not move a customer outcome.

Key Responsibilities

Customer and Workflow Insight

• Spend real time with clinical and operations users and their leaders, and map each workflow end to end: volumes, handoffs, turnaround rules and regulatory constraints
• Bring that insight back as clear problem statements, not feature lists

Prioritization and Roadmap

• Own a single ranked backlog for your apps that weighs customer commitments, revenue, autonomy progress and effort
• Keep Sales, delivery and engineering working from the same list, and explain every no

Testing and Validation

• Define evals, gold datasets, acceptance criteria and confidence thresholds with our clinical team
• Run UAT with customers and track accuracy, turnaround time, auto-determination rate and overturn rate
• Hold the bar: no release ships without passing its regression suite

Agent Experience and Autonomy

• Design how reviewers work alongside agents: exception queues, evidence and rationale on screen, easy override and clean handoff to a clinician
• Move each app from AI that assists people toward agents that run the work end to end, with the guardrails regulated healthcare demands

Delivery and Customers

• Work with forward deployed engineers so what we build for one customer becomes part of the reference app
• Run release notes and roadmap reviews customers can plan around

What Success Looks Like After One Year

• Outcomes in production. Your apps live at multiple customers with measured gains in turnaround time and automation.
• Autonomy progress. At least one workflow running end to end with agents in production, with defined guardrails and a clean audit record.
• Testing discipline. An eval suite and gold dataset for every app, run on every release.
• Trusted roadmap. Customer commitments land on the dates we gave.
• Customer voice. Customers willing to act as references for the work.

Qualifications

Experience

• 5+ years in product management, with B2B healthcare technology products shipped to enterprise customers
• Deep domain expertise in payer or PBM operations. You have lived inside the workflows: prior authorization, utilization review, appeals, claims or pharmacy benefit. This one is a hard requirement.
• Experience shipping AI/ML-powered products, including defining how they are tested and measured
• Startup or high-growth experience

AI and Technical Depth

• Working knowledge of LLMs and agentic AI systems, and how evals, confidence thresholds and human-in-the-loop review work in practice
• Familiarity with healthcare data standards (FHIR, HL7, X12, NCPDP) and the regulatory rules that shape payer workflows, such as CMS turnaround times and NCQA requirements

The Right Mindset

• Driver, not a passenger. You pick up the problem and lead, without waiting to be asked.
• Embraces the mess. There is work in progress everywhere and less process than you would like. You move us from chaos to structure without slowing us down.
• Bias for action. Ships, measures and iterates. Makes decisions with imperfect information and owns the outcome.
• Extremely detail oriented. You catch the edge case before the customer does.
• Honesty and humility. Transparent, low-ego, customer-leaned, truth-seeking.
• High standards, with clinical respect. Mediocre product bothers you and you do something about it. You deeply respect the people whose workflows you are automating.

What We Offer

• Competitive compensation and meaningful equity
• 100% employer-paid medical, dental, and vision insurance, plus 401(k), disability insurance, and employee assistance programs
• A customer base of the largest health enterprises in the U.S. Real enterprise scale, real clinical stakes
• High ownership in one of the most consequential chapters of healthcare AI

Location

In person in Austin, TX.