Associate Deployment Strategist (AI/ML Product)

Pallet•San Francisco, NY

4d•Onsite

About The Position

About Pallet Pallet is building AI Agents to transform the physical economy — 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 supply chain 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 companies across the physical economy look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep supply chain expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company powering the physical economy. Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology. About the Role As Pallet scales with mid-market and enterprise customers, deployments need to be clear, organized, and deeply customer-aware. Customers are adopting AI agents in real operational workflows, which means the details matter: requirements, edge cases, stakeholder alignment, change management, testing, and go-live support. The Associate Deployment Strategist helps own customer deployments from discovery and workflow design through execution, launch, and ongoing success. You’ll work closely with customers, Agent Delivery Engineers, Product, Sales, and Success to turn messy real-world processes into reliable AI agent workflows. This is a client-facing, high-growth role for someone early in their career who is highly organized, analytical, and comfortable operating in a fast-moving environment. You’ll primarily support mid-market deployments, own day-to-day customer coordination, and partner with senior team members on larger or more complex accounts. Why This Role Is Different You won’t inherit a fully built playbook; you’ll help create it. This role sits at the center of customer deployment, product feedback, and operational execution. You’ll work directly with customers, learn how AI agents are deployed in mission-critical workflows, and help shape how Pallet scales implementation across a growing customer base.

Requirements

1+ years of experience in a customer-facing, operations, implementation, consulting, product, support, or technical project role
Strong organization and follow-through across multiple workstreams
Clear written and verbal communication skills
Comfort working with customers and asking thoughtful questions
Ability to break down complex workflows into clear steps, requirements, and decisions
Interest in AI, automation, logistics, and operational systems
Strong analytical skills and attention to detail
Comfort working in spreadsheets and presentation tools
Basic technical acumen, including familiarity with APIs, JSON, SQL, or system workflows
Ability to operate in a fast-moving environment and create structure from ambiguity

Nice To Haves

Experience at a SaaS, logistics, supply chain, marketplace, or workflow automation company
Experience working with AI-driven or automation products
Technical degree or technical coursework in CS, Engineering, Math, Data, or related fields
Prior experience in implementation, customer success, solutions, or operations

Responsibilities

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 Agent Delivery 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%)