Lead Product Manager, Claims Automation

Sidecar Health is redefining health insurance. Our mission is to make excellent healthcare affordable and attainable for everyone. We know that to accomplish this lofty mission, we need driven people who will make things happen.

The passionate people who make up Sidecar Health’s team come from all over, with backgrounds as tech leaders, policy makers, healthcare professionals, and beyond. And they all have one thing in common—the desire to fix a broken system and make it more personalized, affordable, and transparent.

If you want to use your talents to transform healthcare in the United States, come join us!

**Must reside in California for consideration**

As a Lead Product Manager for claims automation at Sidecar Health, you will own critical claims platform features and systems that marry artificial intelligence and deterministic systems to power end to end claim processing, from the moment the data enters our system through claim finalization and payout. You'll drive the strategy, development, and launch of AI-powered features — including agentic systems, intelligent assistants, and human-in-the-loop experiences — that ensure claims are processed quickly and correctly.

You bring a builder's mindset with a passion for automation and complex problems. You understand how to design for trust and auditability in non-deterministic systems and know when deterministic systems are the best approach. You can think big in a systems view while diving into the details.

• Own product strategy and roadmap for claims automation — spanning data extraction/entry, enrichment, identification, adjudication and routing across our claims processing platform

• Become an expert on our operational processes and map them to technology and software solutions.

• Define where AI/ML capabilities (document extraction, classification, sub-classification, routing) should be applied within the claims pipeline, and where logic should remain deterministic and rules-based

• Define evaluation frameworks for AI product quality — accuracy, safety, hallucination risk, auditability, and user trust — and use them to make ship/no-ship decisions

• Design