About the role
About Liberate Liberate builds insurance-native AI agents that handle customer interactions end-to-end across voice, SMS, email, and digital - then complete the downstream work inside core systems like Guidewire, Duck Creek, Applied Epic, and Salesforce. We are the System of Action for Insurance : our agents don't just talk, they execute and resolve. In a market full of AI demos, our moat is production depth - real regulated conversations, real workflows, and the governance and trust layer that carriers and agencies require.
About
the Role As an Agent Product Manager, you bring the structured thinking, analytical horsepower, and executive presence of a strong consulting background - and apply it as an owner, not an advisor. You take ambiguous, high-stakes problems for our enterprise insurance customers and drive them end-to-end: framing what to build, designing the agent systems that deliver it, navigating hard product and engineering tradeoffs, and owning the outcome through to measurable, in-production value. This is fast-paced, hands-on, customer-facing work for someone who wants to build and operate, not just recommend. Key
Responsibilities Own ambiguous problem spaces end-to-end. Structure messy, undefined problems with incomplete information and drive them to measurable customer outcomes - owning the result, not just the recommendation. Lead executive-level customer engagements. Earn the trust of customer leadership, communicate clearly under pressure, and commit to a plan without overpromising on certainty or timelines. Apply structured, analytical problem-solving. Segment problems rather than treating them generically, quantify severity and impact, prioritize ruthlessly, and make crisp recommendations despite ambiguity. Partner with Engineering on high-leverage tradeoffs. Separate launch-critical needs from nice-to-haves, distinguish customer-specific config from reusable platform capability, and balance speed, quality, and scalability with clear
requirements and decision criteria. Own delivery, adoption, and outcomes. Drive measurable value in production - not just a successful deployment - and own the customer relationship through it. Create reusable patterns. Turn recurring solutions into scalable product, platform, playbook, or process improvements so the next engagement isn't a repeat fire drill.