Job Opportunities API

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** About the Role 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 .     What You'll Do  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 human-in-the-loop workflows, audit trails, and escalation paths appropriate for a regulated, financial-transaction system   Define quality and turnaround-time (TAT) metrics for automated and semi-automated claims workflows, and use them to make ship/no-ship and rollout decisions   Drive build vs. buy decisions for claims infrastructure (e.g., pricing data, vendor tooling, etc) and make the call with clear tradeoff reasoning   Lead a cross-functional pod of engineers, designers, and data scientists to ship high-impact improvements  Lead complex, cross-functional initiatives — system migrations, platform upgrades, new payer/vendor integrations — from discovery through launch   Navigate compliance-driven requirements (e.g., No Surprises Act and other regulatory constraints) and translate them into clear, buildable product requirements   Partner closely with engineering, claims operations SMEs, and compliance stakeholders to scope initiatives, define MVPs, and sequence a heavily interdependent roadmap   Write clear, detailed PRDs and specs that hold up under scrutiny from engineering, compliance, and executive stakeholders   Use data and experimentation to measure the performance of automated workflows and continuously improve accuracy and throughput   Establish and evolve product practices suited to a platform that is part infrastructure, part intelligent system  Stay current on the rapidly evolving AI landscape and translate emerging capabilities into concret