
501 - 1000 employees
Founded 2011
🛡️ Insurance
🏪 Marketplace
💸 Finance
💰 $15M Post-IPO Equity on 2022-02
Insurance • Marketplace • Finance
EverQuote is a leading online insurance marketplace in the U. S. , offering a platform where consumers can easily shop for and compare insurance quotes. It partners with top insurance providers to help users find suitable auto, home & renters, and life insurance policies by answering a few questions and connecting with providers for personalized quotes. EverQuote aims to assist consumers in protecting their families, property, and future by simplifying the insurance shopping process and offering educational resources on various insurance-related topics.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $174.8k - $205.7k / year
⏰ Full Time
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on EverQuote's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago
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501 - 1000 employees
Founded 2011
🛡️ Insurance
🏪 Marketplace
💸 Finance
💰 $15M Post-IPO Equity on 2022-02
Insurance • Marketplace • Finance
EverQuote is a leading online insurance marketplace in the U. S. , offering a platform where consumers can easily shop for and compare insurance quotes. It partners with top insurance providers to help users find suitable auto, home & renters, and life insurance policies by answering a few questions and connecting with providers for personalized quotes. EverQuote aims to assist consumers in protecting their families, property, and future by simplifying the insurance shopping process and offering educational resources on various insurance-related topics.
• Own the product roadmap for an AI-powered insurance marketplace used by AI agents • Define and maintain evaluation sets, identify agent failure modes, and establish quality criteria • Track agent completion, accuracy, speed, and handoff follow-through • Build prototypes and test agent flows with real and test agents • Translate learnings into changes to the data model, exposed reasoning, and architecture • Collaborate with the AI technical lead and engineers on architecture, cost, and speed trade-offs • Build relationships with AI platforms and incorporate routing and discovery insights into product design • Publish the company’s mission, experiments, and findings • Provide leadership with regular visibility into progress, learnings, and risks
• Experience building and shipping real AI products into production • Experience testing AI systems, identifying failure modes, and determining rollback criteria • Working understanding of LLMs, agent systems, retrieval, orchestration, guardrails, and cost/speed trade-offs • Technical depth to participate in architecture or code reviews • Comfort with light Python or SQL for data analysis and prototyping • Strong product instincts and comfort with ambiguity • Clear communication with technical and non-technical people • Continuous learning, grit, and bias for action • 8+ years in product management, engineering, or closely related work at a technology company, including senior ownership of a product area • Track record of leading large, ambitious projects with a small team and delivering them • Proven experience building and shipping AI or agent products to production • Detail-oriented with dependable delivery in a fast-moving, entrepreneurial environment • Fluency in SQL and comfort reading or writing light Python to prototype • Strong strategic thinking paired with methodical execution • Excellent communication across all levels of an organization • Experience defining requirements for complex technical systems or platforms • History of teamwork and bias for action • Insurance or fintech experience (nice to have, not required) • Familiarity with MCP, A2A, agent registries, or emerging agentic-commerce standards (nice to have, not required) • Experience working or publishing in open developer communities (nice to have, not required) • Current, unrestricted work authorization in the United States • Must not require immigration sponsorship now or in the future
• Variable cash bonus programs • Equity • Health benefits • Welfare benefits • Wellbeing benefits • Equal opportunity employer • Reasonable accommodations for applicants with disabilities and sincerely held religious beliefs or practices
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