Note: The job is a remote job and is open to candidates in USA. EverQuote is hiring an AI Product Lead to build and own an insurance marketplace designed for AI agents to shop on behalf of consumers. The role leads the product roadmap, agent testing and quality, integrations with AI platforms, and product decisions around data, reasoning, and architecture.

Responsibilities

• Define and own the product roadmap for the marketplace, balancing what agents need, what the architecture allows, and where the business is going
• Own testing and quality: build and maintain the eval sets, name the ways the agent can go wrong, and decide what counts as a good agent interaction
• Track how the agent is doing: completion, accuracy, speed, and how often a handoff is followed through
• Build quick prototypes while the problem is still fuzzy: stand up agent flows and put them in front of real and test agents to learn before engineering commits
• Take what we learn about how agents shop and turn it into real changes in the data model, the reasoning we expose, and the architecture
• Work with the AI technical lead and engineers on architecture trade-offs, cost, and speed, and keep the shopper’s and the calling agent’s interests in every decision
• Build relationships with AI platforms to learn how they find and route to agents, and bring that back into our design
• Work in the open. Help publish our mission, experiments, and findings
• Give leadership clear, regular visibility into progress, what we are learning, and risks

Skills

• Experience building and shipping real AI products, ideally from an AI lab, an AI-native company, or a team that has put LLM or agent products into production. You have done this, not just studied it
• Comfort with testing AI: you can take a fuzzy goal and walk through how you would test it, where it would fail, and when you would roll it back, before reaching for a model
• A working understanding of agent systems: LLMs, how agents are put together, retrieval, orchestration, guardrails, and the cost and speed trade-offs that come with them. You do not need to build the models, but you need to talk about them with engineers
• Enough technical depth to hold your own in an architecture or code review and ask a sharp question. Comfort with light Python or SQL to look at data and prototype
• Strong product instincts and comfort with ambiguity. You can make progress on loosely defined problems
• Clear communication with both technical and non-technical people, and the habit of leading with data
• A continuous learner, with grit and a bias for action in a space where the standards change month to month
• 8+ years in product management, engineering, or closely related work at a technology company, including senior ownership of a product area
• A track record of leading large, ambitious projects with a small team and delivering them. We care more about what you have shipped and the judgment you showed than about the size of your org
• Proven experience building and shipping AI or agent products to production
• Detail-oriented, with a history of strong, dependable delivery in a fast-moving, entrepreneurial environment
• Fluency in SQL for your own data analysis, and comfort reading or writing light Python to prototype
• Strong strategic thinking paired with methodical execution. You can set the direction and then deliver it
• Excellent communication across all levels of an organization, technical and non-technical
• Experience defining requirements for complex technical systems or platforms
• A history of teamwork and a bias for action
• Candidates must have current, unrestricted work authorization in the United States. This role is not eligible for immigration sponsorship, now or in the future
• From an AI lab or an AI-native team
• Insurance or fintech experience
• Familiarity with MCP, A2A, agent registries, or the emerging agentic-commerce standards
• Experience working or publishing in open developer communities

Benefits

• Remote role
• Participation in variable cash bonus programs, based on eligibility and designated by role
• Equity, based on eligibility and designated by role
• A comprehensive range of health, welfare, and wellbeing benefits, based on eligibility and designated by role

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