AI Product Lead – Senior Product Manager

🕒 il y a 15 jours

🇺🇸 États-Unis – Télétravail

💵 $174 800 - $205 700 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de EverQuote, pas via un site d'emploi

Repérée par Remote Rocketship il y a 15 jours

Toujours ouverte sur le site de EverQuote. Vérifiée il y a 2 heures.

Logo of EverQuote

EverQuote

501 - 1000 employés

Fondée en 2011

🛡️ Assurance

🏪 Place de marché

💸 Finance

💰 €15 000 000 Post-IPO Equity en 2022-02

Insurance • Marketplace • Finance

EverQuote est une plateforme de comparaison d'assurances en ligne leader aux États-Unis, offrant aux consommateurs un moyen simple de rechercher et comparer des devis d'assurance. Elle s'associe avec les principaux fournisseurs d'assurance pour aider les utilisateurs à trouver des polices d'assurance auto, habitation et locataire, ainsi que vie, adaptées en répondant à quelques questions et en se connectant avec les prestataires pour obtenir des devis personnalisés. EverQuote vise à aider les consommateurs à protéger leurs familles, leurs biens et leur avenir en simplifiant le processus d'achat d'assurance et en proposant des ressources éducatives sur divers sujets liés à l'assurance.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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