Product Consultant

About the role

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.

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.

Qualifications

• Must have 6+ years of professional experience, including 3+ years in management consulting
• Strong academic record and a clear analytical spike
• Proven enterprise customer-facing ownership - owning outcomes end-to-end, not just advising stakeholders
• Demonstrated experience owning a messy implementation or customer outcome from start to finish
• Exceptional structured thinking and communication; able to explain complex work simply
• High agency and comfort operating in ambiguity with competing constraints
• Clear upward trajectory and evidence of raising the bar without being asked

Nice to have

• Experience with AI/ML systems, workflow automation, or agent-based products
• Background in insurance, fintech, or other regulated industries
• Familiarity with system design tradeoffs and technical architecture
• A track record of productizing or creating reusable patterns from implementations

Compensation

Compensation for Agent Product Manager roles ranges from $160,000–$235,000, depending on level, experience, and location.