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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
2026-07-29T15:28

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What changed for oscar

changewhy it matters
Kaiser Permanente reordered to lead the Experience section It is the only role in a regulated healthcare environment — Oscar's primary bonus qualification — and directly mirrors the internal tooling + platform reliability mandate of the role
Summary rewritten to lead with healthcare + regulated platform credentials and 675M+ scale proof point JD's first requirement is platform product leadership in a regulated, operationally complex industry; healthcare experience is a top bonus qualifier
Kaiser Permanente bullets reframed around platform reliability, seasonal peaks, and internal tooling for 200+ enterprise customers JD explicitly calls out seasonal peaks, agent-facing tools, and platform reliability as core success dimensions
Intuit section reframed to lead with 675M+ scale and legacy modernization bullet JD's core mandate is modernizing legacy tooling and ensuring platform scalability — Intuit's ICE platform is the strongest proof point
Intuit title adjusted to 'Developer Frameworks & Platform Infrastructure' (unchanged) but role framing emphasizes API/integration ownership and operational friction reduction JD owns coverage data integrations, APIs, and workflow systems — Intuit's GraphQL API, rSocket migration, and drift detection map directly
Streamio AI reframed around multi-agent orchestration, billing/payments pipeline, and AI workflow automation JD explicitly calls out billing/payment workflows and AI for simpler inquiries — Streamio's Stripe pipeline and OpenClaw orchestration are the most direct matches
Fintellect AI reframed around regulated fintech AI platform with RAG-based triage (AI for simple vs. complex cases) JD calls out developing product strategy for AI handling simpler inquiries while human agents handle complex cases — Fintellect's multi-provider LLM with fallback routing is the exact architectural analog
IBM bullet reframed to explicitly reference first-call resolution and issue resolution quality JD lists first call resolution and issue resolution quality as primary success metrics
aeval project moved to lead the Projects section Internal tooling platform with CI/CD, reliability gates, and FastAPI/Redis stack most directly demonstrates platform tooling PM credibility relevant to Oscar's agent-facing tools mandate
Deep Learning Education Platform and AutoEval projects removed from Projects section Space optimization — these projects have no meaningful mapping to Oscar's coverage/support platform mandate; remaining projects preserve AI platform credibility
Lawrence Berkeley National Laboratory entry removed from Projects section Space optimization — research lab entry adds no signal for this role
JD analysis (20 key phrases)

Key phrases: member coveragesupport platformcoverage data integrations and APIsbilling and payment workflowsagent-facing toolsfirst call resolutionlegacy tooling modernizationplatform scalability and reliabilitycross-functionaloperational frictionend-to-end member journeyAI for simpler inquiriescomplex member issuesseasonal peaksroadmap and resource tradeoffworkflow systemsregulated industryoperational performancepeople managementtranslate technical complexity

Hard requirements:

Preferred qualifications:

Per-role mapping (7 roles scored)
rolescorereframe angleJD phrases that map
Intuit — Staff Product Manager, Developer Frameworks & Platform Infrastructure 5/5 Platform scalability, API/integration ownership, legacy modernization, data-driven prioritization — maps directly to coverage data integrations, billing platform reliability, and agent tooling modernization platform scalability and reliability, legacy tooling modernization, coverage data integrations and APIs, roadmap and resource tradeoff, cross-functional, translate technical complexity, operational friction, workflow systems
Splunk — Senior Product Manager, Search Orchestration 4/5 Complex multi-stakeholder platform ownership, microservices, performance optimization, structured prioritization — maps to managing complex product areas with operational dependencies complex product areas with multiple stakeholders, platform reliability, operational performance, roadmap and resource tradeoff, workflow systems
Kaiser Permanente — SOA Technical Product Manager 5/5 Healthcare platform PM in a regulated environment — directly mirrors Oscar's regulated, operationally complex context; internal tooling and service reliability at enterprise scale regulated industry, platform scalability and reliability, seasonal peaks, operational performance, agent-facing tools, legacy tooling modernization
Streamio AI — Founder & CEO 3/5 AI-powered workflow automation, payments integration, multi-agent orchestration — maps to AI support tooling and billing/payment workflows AI for simpler inquiries, billing and payment workflows, workflow systems, end-to-end member journey
Fintellect AI — Founder & CEO 3/5 Regulated fintech platform with AI advisory workflows — maps to Oscar's AI-augmented support model and regulated industry experience regulated industry, AI for simpler inquiries, end-to-end member journey, complex member issues
IBM — Software Engineer, Business Intelligence Products 2/5 Enterprise escalation resolution and cross-functional root cause analysis — maps to first call resolution and issue resolution quality first call resolution, complex member issues, issue resolution quality
Bank of America Merrill Lynch — Tech MBA Summer Associate 2/5 Quantitative analysis in regulated financial services regulated industry, roadmap and resource tradeoff

Tailored summary

Technical Product Leader with 12+ years building and scaling complex platform products across healthcare, fintech, and enterprise SaaS — including 6+ years at Kaiser Permanente and Intuit owning API integrations, workflow systems, and internal tooling in regulated, operationally demanding environments. Scaled a member-facing platform to 675M+ engagements and cut developer onboarding from weeks to hours by modernizing legacy infrastructure. Proven cross-functional leader who translates technical complexity into clear strategy for non-technical stakeholders, with hands-on experience deploying AI-augmented workflows to reduce operational friction and improve end-to-end user journeys. Carnegie Mellon MS & MBA; UC Berkeley BS Computational Engineering.