Agent Product Manager
About Us
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. They started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Their long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. They've raised a total of $72MM up till their Series B from Top Tier VCs - $50M Series B was in September.
Key Responsibilities
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.
Qualifications
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: $150,000-190,000
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.
Benefits:
- 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
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