# Group Agent Product Manager at Liberate

> Hybrid · United States · Unspecified · Product · open. Source: https://alderhq.app/jobs/greenhouse%3Aliberate%3A5324472008 (read 2026-11-10).

## Facts (observed)

- Company: [Liberate](https://alderhq.app/companies/liberate)
- Location text: Boston, San Francisco; Hybrid
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Boston, San Francisco; Hybrid")
- Posted: 2026-07-13 (120 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/liberate/jobs/5324472008
- Skills listed (inferred): Distributed systems

## Pay and sponsorship

- Posted pay: $185k–$235k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 192): p25 $180k, median $214k, p75 $260k

## Description (the employer's text)

### 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.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aliberate%3A5324472008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.