AI Product Manager

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.

Location: Boston or San Francisco hybrid role (2 days/week in-office)

• Scope and Prioritize Use Cases: 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.
• Lead Product Design Workshops: 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.
• Author Agent Requirements: 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.
• Drive Customer Implementations: 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.
• Champion Customer Success: 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.

Must have

• Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment
• 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
• Demonstrated ability to translate business requirements into technical specs or product briefs
• Proven ability to lead workshops and uncover customer needs in ambiguous environments
• Strong analytical and structured problem-solving skills
• Exceptional written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders
• Exposure to implementation or deployment of enterprise SaaS solutions

Nice to have

• Experience working with AI/ML products, automation tools, or workflow optimization initiatives
• Prior experience in insurance, fintech, or highly regulated industries
• Familiarity with prompt engineering or agent-based AI systems
• Background in product design, service design, or business process design

Salary Range: $150,000-200,000 

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.

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance
• Flexible work environment with remote work options
• Collaborative and innovative company culture