Product Manager, Authorization Services

Hi, we're Oscar. We're hiring a Product Manager, Authorization Services to join our Product team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

Oscar is looking for a Product Manager to help transform how healthcare authorizations work—one of the most complex, costly, and frustrating parts of the payer ecosystem.
Today, prior authorization creates friction across the system: members face delays in care, providers navigate administrative burden, and payers incur significant operational cost. Our mission is to fundamentally redesign this experience.

You will be part of the Authorization Services team, which is rethinking utilization management from a reactive approval process into a proactive, intelligent system that guides members to the right care—while minimizing or eliminating the need for manual authorization altogether.

This is a high-impact, high-visibility role at the center of Oscar’s next phase of innovation—and one of the highest-leverage opportunities at Oscar to apply AI to core healthcare workflows. You’ll build and scale decisioning systems (e.g., auto-approvals, intelligent routing, proactive guidance) that improve member and provider experience and drive meaningful cost efficiency. For PMs looking to develop as AI-first product leaders, this is a unique opportunity to work on high-stakes applications of AI in healthcare.

You will report into a Staff Product Manager.

Work Location:

This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency:

The base pay for this role is: $135,792.00 - $178,227.00 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

• Develop product strategy: Define the vision and roadmap for Authorization Services, identifying opportunities to improve member experience, reduce provider burden, and drive payer efficiency.
• Lead discovery: Partner with Operations, Clinical, and Provider teams to deeply understand user needs, identify high-impact problems, and validate solutions.
• Execute development: Work closely with Engineering, Design, and Data Science to build and launch high-quality, scalable products, including AI-driven decisioning systems.
• Drive cross-functional collaboration: Collaborate with Operations, Legal, Compliance, and external partners to ensure solutions are operationally viable, compliant, and effectively delivered.
• Measure and iterate: Define success metrics (e.g., auto-approval rate, turnaround time, operational efficiency), generate insights with Data partners, and continuously refine the product strategy.
• Shape the future of the platform: Contribute to how AI and decisioning systems are applied across Oscar’s core insurance workflows.
• Compliance with all applicable laws and regulations. 
• Other duties as assigned. 

Requirements:

• 4+ years of product management experience in a high-growth or complex environment.
• Proven ability to solve ambiguous, high-stakes problems using experimentation and data-driven decision-making.
• Track record of delivering impactful software products, particularly in customer-facing or operationally complex domains.
• Strong analytical mindset with the ability to generate insights and inform strategy.
• Experience collaborating closely with engineers and designers to bring products to life.
• Excellent communication and stakeholder management skills, with the ability to work effectively across teams and leadership.

Bonus points:

• Technical background or experience working on complex, technical systems.
• Experience in healthcare, particularly payer or provider workflows.
• Experience building or scaling AI/ML-driven products.