Associate Deployment Strategist (AI/ML Product)

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.

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 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%)

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

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 Have

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