Agent Product Manager (Enterprise)
Pallet
| Company | Pallet |
| Category | Product |
| Location | San Francisco or New York City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 12 May 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
About Pallet
Pallet is building AI Agents to transform logistics — a $12 trillion global industry. We’ve raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we’ve achieved 700% revenue growth and are just getting started.
Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.
As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company in logistics.
Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech. $120,000 - $240,000 Full-time / Onsite (5 days/week) / ~25-30% Travel
About the Role
As Pallet scales into larger, more complex enterprise and mid-market customers, deployments become higher-stakes: more stakeholders, evolving requirements, real change management, and real consequences if things break.
The Enterprise Agent Product Manager owns customer deployments end-to-end, from discovery and workflow design through execution, go-live, and long-term success. You are the connective tissue between customers, Forward Deployed Engineers, Product, Sales, and Success. You ensure customers feel confident, informed, and supported, even as workflows, product capabilities, and internal processes continue to evolve.
This is a highly client-facing, high-ownership role for senior operators who thrive under pressure and ambiguity.
Why This Role Is Different
You won’t inherit a playbook, you’ll help build it. This role owns enterprise deployments end-to-end, translating messy real-world operations into live AI agent workflows. You’ll work directly with executives, shape how CoPallet scales, and play a defining role in how customers come to trust AI in mission-critical systems.
How You’ll Make an Impact
Serve as the executive point of contact for customer deployments and long-term success
Lead customer discovery to understand workflows, constraints, and success criteria
Translate complex business processes into executable AI agent workflows
Partner with Forward Deployed Engineers to validate assumptions and execute technically
Configure, test, and release agent configurations for customer use cases
Own deployment plans, timelines, risks, and stakeholder communication
Lead customer kickoffs, milestone reviews, QBRs, and executive updates
Proactively manage scope changes, escalations, and expectation-setting
Improve and scale onboarding and deployment processes over time
Travel for key customer milestones and kickoffs as needed (~25%)
What Success Looks Like
Customers have clearly defined, executable workflows aligned to their business reality
Deployments stay on track despite ambiguity, changing requirements, or complexity
Executives feel informed, confident, and trust Pallet as a long-term partner
Internal teams are aligned, accountable, and coordinated around customer outcomes
Deployment processes become more repeatable and scalable without sacrificing quality
What You’ll Bring
6+ years in customer-facing roles (Product, Engagement, Consulting, Founder, etc.)
Strong technical acumen: able to reason about workflows, APIs, and system behavior
Comfort operating in fast-moving, ambiguous environments
Excellent written and verbal communication skills
Experience managing multiple concurrent, high-stakes projects
Familiarity with LLMs, APIs, JSON