What's the salary range?

Liberate lists $180,000–$235,000 for this role.

How much experience is required?

At least 8 years of relevant experience for this Staff Agent Product Manager role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Consulting, Insurance.

What seniority level is this role?

Liberate targets staff-level candidates for this position.

Is this full-time or contract?

Full-time for this Staff Agent Product Manager role at Liberate.

Staff Agent Product Manager at Liberate

Joblaze summary

In the role of Staff Agent Product Manager at Liberate, the individual is responsible for tackling complex, undefined challenges in the insurance sector, driving solutions from conception to measurable outcomes. This position requires a strong analytical background, particularly from management consulting, along with the ability to engage effectively with enterprise customers and navigate intricate product and engineering decisions. Ideal candidates will have significant experience in customer-facing roles, demonstrating ownership of project outcomes in fast-paced environments. Liberate's focus on AI-driven solutions positions this role at the intersection of technology and customer service

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Liberate's career page.
Liberate has 15 other open roles including Office Assistant , Head of RevOps, Senior AI Agent Engineer.
5144 active AI/ML roles on Joblaze right now.
18 active Insurance roles on Joblaze right now.
14 active Consulting roles on Joblaze right now.
Salary band is in line with the typical range for Product roles (median ~$185,300).
Pays more than 49% of the 2236 salaried AI/ML roles we track (median $180,000). See AI/ML salary trends

Quick facts

What's the salary range?: Liberate lists $180,000–$235,000 for this role.
How much experience is required?: At least 8 years of relevant experience for this Staff Agent Product Manager role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Consulting, Insurance.
What seniority level is this role?: Liberate targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Agent Product Manager role at Liberate.

From the original posting

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.

Qualifications

Must have

8+ years of professional experience, including 5+ 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 $180,000–$235,000, depending on level, experience, and location.