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Pace

AI agents for automating insurance operations

Agent Product Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience operating at the intersection of customers, product, and go-to-market.
  • Ability to communicate with executives, operators, and technical teams.
  • Ability to translate real-world workflows into clear, executable steps.
  • Ability to take ownership of outcomes.

Responsibilities

  • Own the rollout, success, and expansion of Pace's agents at its largest insurance customers.
  • Work directly with customers to lead deployments and ensure the agents drive measurable impact, expanding usage across workflows and business units.
  • Work with customers to identify pain points and success criteria, and translate those insights into clear product requirements and priorities.
  • Lead demos, pilots, and business reviews that articulate return on investment, operational impact, and expansion opportunities to customer stakeholders.
  • Collaborate with Engineering and Product to drive the roadmap and surface platform gaps, edge cases, and improvement opportunities.

Desired Qualifications

  • Founder or startup experience.

About the Company

Pace

AI agents for automating insurance operations

Pace builds AI agents that automate insurance back-office work. The agents autonomously perform end-to-end tasks such as submission intake, policy servicing, and claims handling (including First Notice of Loss) by navigating internal applications, interpreting documents, and even making phone calls. Their platform integrates with legacy systems, mainframes, and desktop apps so automation can span existing workflows. Unlike vendors that sell standalone software, Pace offers end-to-end outcomes with pricing based on successful transactions, targeting the sizable BPO spend in insurance and financial services and replacing manual or offshore workflows with AI-driven processes. The company aims to help insurers achieve faster, more accurate, and scalable operations by embedding AI agents into daily operations and outsourcing-like workflows.

Company size
51-200
Company stage
Series B
Total funding
$46M
Headquarters
New York City, New York
Founded
2024

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