Agent Product Manager (Founding Team)

About Pallet

Pallet is building AI Agents to transform logistics — a $12T global industry. We’ve raised $50M from top investors including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures, and in under two years have achieved 700% revenue growth.

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 delivers end-to-end visibility and control, while our newest product, CoPallet, introduces AI Agents that can understand requests in real time and execute directly within customer systems.

As enterprise logistics teams increasingly turn to generative AI, Pallet is uniquely positioned to lead the category — combining deep industry expertise with cutting-edge AI capabilities. We’re building toward the next $10B logistics company, and we’re just getting started.

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 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

• 4+ 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
• Strong Excel / PPT skills
• SaaS experience
• Basic SQL literacy

Nice to Have

• Technical degree (CS, Engineering, Math) or equivalent experience
• Experience with AI-driven or workflow automation products

Location & Logistics

• In Person based in our San Francisco office or NYC office
• Travel required for major customer milestones
• Interviewing: Remote with final in-person round

Compensation

• $160k–$240k base salary, depending on level and experience
• Competitive equity and full benefits package

Benefits

🩺 Health, vision, and dental
🏝️ Flexible PTO
💸 Competitive salary + equity
🪜 401(k)
📚 Annual learning & development stipend
🚌 Commuter benefits (Bay Area)