Redpoint

<h2><strong>About Liberate</strong></h2> <p>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 <strong>System of Action for Insurance</strong>: 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.</p> <h2><strong>About the Role</strong></h2> <p>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.</p> <h2><strong>Key Responsibilities</strong></h2> <ul> <li><strong>Own ambiguous problem spaces end-to-end.</strong> Structure messy, undefined problems with incomplete information and drive them to measurable customer outcomes - owning the result, not just the recommendation.</li> <li><strong>Lead executive-level customer engagements.</strong> Earn the trust of customer leadership, communicate clearly under pressure, and commit to a plan without overpromising on certainty or timelines.</li> <li><strong>Apply structured, analytical problem-solving.</strong> Segment problems rather than treating them generically, quantify severity and impact, prioritize ruthlessly, and make crisp recommendations despite ambiguity.</li> <li><strong>Partner with Engineering on high-leverage tradeoffs.</strong> 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.</li> <li><strong>Own delivery, adoption, and outcomes.</strong> Drive measurable value in production - not just a successful deployment - and own the customer relationship through it.</li> <li><strong>Create reusable patterns.</strong> Turn recurring solutions into scalable product, platform, playbook, or process improvements so the next engagement isn't a repeat fire drill.</li> </ul> <h2><strong>Qualifications</strong></h2> <p><strong>Must have</strong></p> <ul> <li>6+ years of professional experience, including 3+ years in management consulting</li> <li>&nbsp;Strong academic record and a clear analytical spike</li> <li>Proven enterprise customer-facing ownership - owning outcomes end-to-end, not just advising stakeholders</li> <li>Demonstrated experience owning a messy implementation or customer outcome from start to finish</li> <li>Exceptional structured thinking and communication; able to explain complex work simply</li> <li>High agency and comfort operating in ambiguity with competing constraints</li> <li>Clear upward trajectory and evidence of raising the bar without being asked</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Experience with AI/ML systems, workflow automation, or agent-based products</li> <li>Background in insurance, fintech, or other regulated industries</li> <li>Familiarity with system design tradeoffs and technical architecture</li> <li>A track record of productizing or creating reusable patterns from implementations</li> </ul> <h2><strong>Compensation</strong></h2> <p>Compensation for Agent Product Manager roles ranges from <strong>$160,000–$235,000</strong>, depending on level, experience, and location.</p>