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← oscar / Group Product Manager, Member Coverage & Support Platform

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role
oscar / Group Product Manager, Member Coverage & Support Platform
model
anthropic/claude-sonnet-4.6
created
2026-07-29T15:27

Company snapshot

Oscar Health is a technology-first health insurance company founded in 2012, built on a proprietary full-stack platform designed to make health insurance more member-centric and navigable. Oscar operates in the individual, small group, and +Oscar (B2B) markets across numerous U.S. states, competing with legacy carriers by differentiating on digital experience, concierge care teams, and data-driven operations. The company went public in 2021 (NYSE: OSCR) and has been on a multi-year path toward profitability, with recent focus on operational efficiency, AI-assisted member support, and scaling its platform infrastructure. Oscar's engineering reputation is that of a modern, cloud-native shop (likely AWS-heavy, based on the JD and public signals) with strong investment in internal tooling and data platforms. Specific recent internal initiatives are not publicly confirmed; claims about named projects or individuals would be speculative.

Team stack

Based on the JD and Oscar's public engineering signals: backend services likely in Python and/or Go (common at insurtech scale-ups); APIs and integrations likely REST/GraphQL with some legacy SOAP or HL7/FHIR interfaces for healthcare data (likely, given coverage data integration emphasis); data platform likely on Snowflake or BigQuery with dbt (common in this space); internal tooling likely React/TypeScript frontends; workflow orchestration possibly Temporal or similar (inferred from 'complex workflows' language in JD); cloud infrastructure almost certainly AWS (Mailchimp/GCP-to-AWS migration experience at Intuit is directionally relevant); AI/support automation stack is evolving — JD signals LLM integration for tier-1 deflection is in-flight or planned. Regulatory data handling (HIPAA, CMS) shapes all platform decisions.

Likely questions (10)

areaquestionwhy
system_design Walk us through how you would architect a coverage data integration layer that ingests enrollment events from multiple CMS/carrier feeds, keeps member eligibility state consistent, and exposes a reliable API to downstream billing and support tools — including how you'd handle late or corrected transactions. The JD explicitly calls out 'coverage data integrations and APIs' as a core platform surface; Oscar's business depends on enrollment accuracy, and late/corrected EDI 834 transactions are a known pain point in health insurance operations.
system_design Oscar's support platform needs to handle massive seasonal spikes — open enrollment, January 1 effectuation, tax season. How would you design for reliability and scalability across those peaks without over-provisioning year-round? The JD specifically calls out 'seasonal peaks and high-pressure moments in the healthcare calendar' as a design constraint for the platform.
domain How would you approach modernizing a legacy agent desktop tool that support reps use to resolve billing disputes — balancing the need to ship incremental improvements without disrupting live operations, while also building toward a longer-term architecture? The JD calls out 'modernize legacy tooling' and 'tools and workflows that help support teams resolve complex member issues' as explicit responsibilities.
domain Describe how you would build a product strategy for introducing AI-assisted support — deciding which inquiry types to automate, how to measure deflection quality vs. member satisfaction, and how to design the handoff to human agents for complex cases. The JD explicitly names 'increased use of AI for simpler inquiries and a growing need for human agents to handle more complex cases' as a strategic evolution this GPM must own.
behavioral Tell me about a time you led a platform product through a major technical migration or modernization effort. What was your role in aligning engineering, operations, and business stakeholders, and what tradeoffs did you have to make? The JD emphasizes cross-functional partnership on modernization; the Intuit Mailchimp GCP-to-AWS migration and ICE Self-Service platform are directly relevant experiences to draw from.
behavioral Describe a situation where you had to translate a highly complex technical system or constraint into a clear recommendation for a non-technical executive audience. How did you frame it, and what was the outcome? The JD calls out 'translate complex technical and operational concepts into clear priorities and narratives for non-technical stakeholders' as a core competency.
behavioral How have you managed, mentored, and grown a team of product managers — particularly in a context where the PM team is embedded in a technically complex, operationally critical platform area? The role requires 2+ years of PM people management and explicitly lists 'manage, mentor, and develop a team of product managers' as a primary responsibility.
coding You're analyzing support ticket data to identify the highest-impact areas for agent tooling improvement. Walk me through how you'd structure the analysis — what data sources you'd pull, what SQL or BigQuery queries you'd write, and how you'd prioritize findings into a roadmap. The JD requires strong analytical skills and data-driven prioritization; the Intuit experience with SQL/BigQuery for developer pain point analysis is directly transferable.
culture Oscar's mission is to behave like 'a doctor in the family.' How do you think about balancing member empathy and experience quality against the operational and cost realities of running a scaled support platform? Oscar's culture centers on member-first values; this role sits at the intersection of cost efficiency (first call resolution, call duration) and member experience — a tension the JD acknowledges directly.
domain Walk me through how you would define and instrument the key metrics for this platform — covering both member-facing outcomes (resolution quality, time-to-resolve) and operational health (API reliability, billing accuracy, agent handle time). How would you use those metrics to drive roadmap decisions? The JD explicitly lists first call resolution, call duration, escalation rates, and issue resolution quality as measurable outcomes this GPM is accountable for.

Talking points