Associate Deployment Strategist (AI/ML Product)

Pallet•San Francisco, CA

14h•$100,000 - $150,000•Onsite

About The Position

Pallet is seeking an Associate Deployment Strategist to help own customer deployments from discovery and workflow design through execution, launch, and ongoing success. This role is client-facing and ideal for someone early in their career who is highly organized, analytical, and comfortable operating in a fast-moving environment. You will primarily support mid-market deployments, manage day-to-day customer coordination, and partner with senior team members on larger accounts. This role is unique as it involves helping to create the deployment playbook rather than inheriting one, sitting at the intersection of customer deployment, product feedback, and operational execution. You will learn how AI agents are deployed in mission-critical workflows and help shape Pallet's scaling implementation strategy.

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%)