Autonomize AI is building healthcare-native apps and AI agents that support payer and PBM workflows where clinical judgment, operational rigor, and regulatory constraints all matter. In this hands-on Product Manager role, you own what gets built next and establish the testing and evaluation approach that proves agents can operate safely in production.
You will work closely with clinical and operations leaders, map workflows end to end, and convert that reality into clear problem statements, ranked priorities, and measurable release criteria. Reporting to the VP of Product, you will help move products from assistive AI toward agents that execute work end to end with the guardrails required by healthcare.
What you will do
- Report to the VP of Product.
- Own healthcare-native apps and AI agents for payer and PBM workflows, including utilization management and prior authorization, appeals and grievances, payment integrity, and pharmacy and formulary operations.
- Determine what gets built next and maintain a single ranked backlog that balances customer commitments, revenue impact, autonomy progress, and effort.
- Define and run the approach for testing and evaluating each agent to confirm safe performance in production.
- Spend real time with clinical and operations users and their leaders, mapping each workflow end to end including volumes, handoffs, turnaround rules, and regulatory constraints.
- Translate workflow insight into problem statements, not feature lists.
- Align Sales, delivery, and engineering to the same backlog, and clearly explain every “no”.
- Define evals, gold datasets, acceptance criteria, and confidence thresholds with the clinical team.
- Run UAT with customers and track accuracy, turnaround time, auto-determination rate, and overturn rate.
- Set release quality expectations: no release ships without passing its regression suite.
- Design how reviewers collaborate with agents, including exception queues, evidence and rationale on screen, easy override, and clean handoff to a clinician.
- Partner with forward deployed engineers so what you build for one customer becomes part of the reference app.
- Run release notes and roadmap reviews that customers can plan around.
What you bring
- 5+ years in product management, with B2B healthcare technology products shipped to enterprise customers.
- Deep domain expertise in payer or PBM operations and experience inside workflows such as prior authorization, utilization review, appeals, claims, or pharmacy benefit. This is a hard requirement.
- 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, including practical experience with evals, confidence thresholds, and human-in-the-loop review.
- Familiarity with healthcare data standards FHIR, HL7, X12, and NCPDP and regulatory rules shaping payer workflows, including CMS turnaround times and NCQA requirements.
- Driver, not a passenger; embraces the mess; bias for action; extremely detail oriented; honesty and humility; high standards with clinical respect.
Technologies
- LLMs
- Agentic AI systems
- FHIR
- HL7
- X12
- NCPDP
Location
Austin, TX (onsite)
Benefits
- 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., with real enterprise scale and real clinical stakes
- High ownership in one of the most consequential chapters of healthcare AI
Role overview
This is a hands-on product role reporting to the VP of Product. You will bring enough depth to sit with a UM nurse or a pharmacist and map their day, pair that with the rigor to design an eval a clinical reviewer would sign off on, and make judgment calls when requests do not move customer outcomes.
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 you gave.
- Customer voice: customers are willing to act as references for the work.
How to apply
Send your resume and a brief note to careers@autonomize.ai describing a payer or PBM workflow you know well and what you would automate first.
