AI Product Manager at Liberate

<h3><strong>About Liberate:</strong></h3> <p data-start="531" data-end="836">Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.</p> <h3>Key Responsibilities</h3> <p><strong>Location:</strong> Boston or San Francisco hybrid role (2 days/week in-office)</p> <ul> <li><strong>Scope and Prioritize Use Cases</strong>: Collaborate with strategic accounts to identify and evaluate high-impact AI opportunities. Lead ideation and discovery workshops to uncover pain points, efficiency gaps, and automation potential.</li> <li><strong>Lead Product Design Workshops</strong>: Facilitate co-design sessions with customers to translate business needs into AI agent workflows. Help customers envision what’s possible and chart a path to value.</li> <li><strong>Author Agent Requirements</strong>: Work closely with internal teams to define clear, actionable requirements for our AI Agent Engineering team. Bridge the gap between customer needs and technical execution.</li> <li><strong>Drive Customer Implementations</strong>: Own the end-to-end delivery of AI deployments for large enterprise customers. Manage timelines, expectations, and success metrics. Act as the primary interface between the customer and internal teams throughout implementation.</li> <li><strong>Champion Customer Success</strong>: Ensure that solutions are adopted and deliver tangible value. Continuously monitor performance and recommend enhancements or optimizations, closely collaborating with our AI Customer Success Managers.</li> </ul> <h1>Qualifications</h1> <p><strong>Must have</strong></p> <ul> <li>Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment</li> <li>3-5 years of experience in customer-facing or hybrid technology roles such as enterprise product management, customer success, implementation management, strategy consulting, or solutions engineering</li> <li>Demonstrated ability to translate business requirements into technical specs or product briefs</li> <li>Proven ability to lead workshops and uncover customer needs in ambiguous environments</li> <li>Strong analytical and structured problem-solving skills</li> <li>Exceptional written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders</li> <li>Exposure to implementation or deployment of enterprise SaaS solutions</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Experience working with AI/ML products, automation tools, or workflow optimization initiatives</li> <li>Prior experience in insurance, fintech, or highly regulated industries</li> <li>Familiarity with prompt engineering or agent-based AI systems</li> <li>Background in product design, service design, or business process design</li> </ul> <p>&nbsp;</p> <p>Salary Range: $150,000-200,000&nbsp;</p> <p class="p1">The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.</p> <h2><strong>Benefits:</strong></h2> <ul> <li>Competitive salary with equity options</li> <li>Flexible PTO</li> <li>401(k) plan</li> <li>Comprehensive health, dental, and vision insurance</li> <li>Flexible work environment with remote work options</li> <li>Collaborative and innovative company culture</li> </ul>