Home › Companies › Liberate › AI Product Manager
AI Product Manager
Liberate · San francisco, CA · Remote · Active · $150,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Liberate |
| Title | AI Product Manager |
| Normalized title | - |
| Department / team | Deployment |
| Location | San francisco, CA, United States |
| Work model | Remote / Hybrid |
| Employment type | - |
| Salary | $150,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2025-10-22 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Liberate. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San francisco. | Open |
| Department jobs | Active postings in Deployment. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Liberate |
| Source | 09e312d1-9cce-4ba7-b414-711dc3ec707e |
| ATS provider | Greenhouse |
Description
About Liberate:
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.
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: $150,000-200,000
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
Full job record
| Job ID | 12efdff6f6342402ba2b79026eedebecd8b32a65 |
| Org ID | 86ae2448-c316-4025-83ff-eb4aa5dbc66c |
| Source ID | 09e312d1-9cce-4ba7-b414-711dc3ec707e |
| Board ID | 09e312d1-9cce-4ba7-b414-711dc3ec707e |
| Provider | greenhouse |
| Provider Job Key | 4962981008 |
| Title | AI Product Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San francisco, CA |
| Department | Deployment |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San francisco |
| Salary Raw | Salary Range: $150,000-200,000 The salary range may be inclusive of several levels that would be appli |
| Salary Min | 150,000 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/liberate/jobs/4962981008 |
| Apply URL | https://job-boards.greenhouse.io/liberate/jobs/4962981008 |
| First Seen At | 2026-05-29 22:55:59Z |
| Last Seen At | 2026-06-06 18:58:24Z |
| Last Checked At | 2026-06-06 18:58:24Z |
| Last Changed At | 2026-05-29 22:55:59Z |
| Inactive At | — |
| Source Posted At | 2025-10-22 16:41:09Z |
| Source Updated At | 2026-04-24 01:34:04Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=liberate/date=2026-06-06/2026-06-06T18-58-24-451Z-a2bc4a1271503ee27392e397ede0350e90272dccac3bbae35c6ae61744b77f78.json |
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