Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Salesforce

About the job

About Liberate

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. 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.

About the Role

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.

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.

Focused on owning deployment experience standards for Agent PMs.

Qualifications

Must have

7+ years of professional experience, including 5+ years in management consulting

Prior people management experience

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

Operational scale experience

B2B tech and customer relationship familiarity

Consultancy background preferred

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 $185,000–$235,000 + Equity , depending on level, experience, and location.