EverQuoteHiring

AI Product Lead (Principal Product Manager)

  • Remote, worldwide
  • Full-time
  • Lead
  • Posted 5 days ago
In one line

Principal product role owning an insurance marketplace built for AI agents to shop on a person's behalf; fully remote.

About the role

Ownership covers the agent-facing product: the data exchanged, the recommendations returned, the connection layer AI platforms use, and the trust signals that make agents willing to buy through it. The customer is often another AI agent, so the product has to earn that trust.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Lead
Employment
Full-time
Skills
LLMs, Retrieval, Orchestration, Guardrails, MCP
Posted
27 Oct 2026
Last checked
30 Oct 2026

What you will do

  • Define and own the marketplace roadmap, balancing agent needs, architecture limits and business direction
  • Build and maintain eval sets, name failure modes and decide what a good agent interaction looks like
  • Track completion, accuracy, speed and handoff follow-through
  • Prototype agent flows early and test them with real and simulated agents before engineering commits

What they look for

  • Track record shipping real AI products, ideally LLM or agent products in production
  • Comfort designing tests for fuzzy AI goals, including failure and rollback plans
  • Working knowledge of LLMs, retrieval, orchestration, guardrails and their cost and speed trade-offs

A typical week

  • Reviewing agent performance metrics and eval results
  • Talking with AI platforms about how their agents find and route to services
  • Sharing progress, experiments and risks with leadership

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Connector URL
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, and the posting does not tie it to one country.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: track record shipping real AI products, ideally LLM or agent products in production; comfort designing tests for fuzzy AI goals, including failure and rollback plans; working knowledge of LLMs, retrieval, orchestration, guardrails and their cost and speed trade-offs. Skills it names include LLMs, Retrieval, Orchestration, Guardrails.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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