Associate Deployment Strategist (AI/ML Product)

Pallet; York and North Yorkshire; On-site; GBP 32,000 - 48,000; Full time

Benefits offered by this job

Health benefits

Vision benefits

Dental benefits

Flexible PTO

Remote office stipend

Equity for all staff

401k option

Company offsites

Job summary

Pallet is seeking an Associate Deployment Strategist to own deployments from discovery through go-live and ongoing success. You will coordinate with customers, Agent Delivery Engineers, Product, Sales, and Success to turn real-world processes into reliable AI agent workflows.

This client-facing, early-career role centers on mid-market deployments, day-to-day coordination, and collaborating with senior team members on larger accounts while helping to scale playbooks and processes.

Qualifications

• Comfort working with customers and asking thoughtful questions
• 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
• Strong analytical skills and attention to detail
• Ability to break down complex workflows into clear steps, requirements, and decisions
• Strong organization and follow-through across multiple workstreams
• 1+ years of experience in a customer-facing, operations, implementation, consulting, product, support, or technical project role
• Clear written and verbal communication skills
• Comfort working in spreadsheets and presentation tools
• Prior experience in implementation, customer success, solutions, or operations
• Experience at a SaaS, logistics, supply chain, marketplace, or workflow automation company
• Experience working with AI-driven or automation products

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%)

Skills

Customer-facing

Analytical

Organized

Communication

Problem solving

Attention to detail

Excel/Presentations

Education

Technical degree (CS/Engineering/Math/Data)

Tools

APIs

JSON

SQL

Job description

• 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
• 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
• 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

Benefits

• Health, Vision and Dental benefits
• Flexible PTO
• Life Insurance and Accidental Insurance
• Company paid dinners on Tuesdays and Thursdays in the office
• 401k option; helping you save for the future
• Short-Term Disability Coverage
• Monthly happy hours; our last one was a Golden Gate Park BBQ
• Remote office home stipend
• Annual Company Offsites; our last one was in Sonoma Wine Country
• Commuter benefits if you live in SF
• Yearly learning and development stipend
• Fully covered uber ride home if you ever have to work late in the office
• Equity for all staff

Comfort working with customers and asking thoughtful questionsBasic technical acumen, including familiarity with APIs, JSON, SQL, or system workflowsInterest in AI, automation, logistics, and operational systemsAbility to operate in a fast-moving environment and create structure from ambiguityStrong analytical skills and attention to detailAbility to break down complex workflows into clear steps, requirements, and decisionsStrong organization and follow-through across multiple workstreams1+ years of experience in a customer-facing, operations, implementation, consulting, product, support, or technical project roleClear written and verbal communication skillsComfort working in spreadsheets and presentation toolsTechnical degree or technical coursework in CS, Engineering, Math, Data, or related fieldsPrior experience in implementation, customer success, solutions, or operationsExperience at a SaaS, logistics, supply chain, marketplace, or workflow automation companyExperience working with AI-driven or automation products