Associate Deployment Strategist (AI/ML Product)

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. $100,000 - $150,000 Full-time / Onsite (5 days/week) / ~25-30% Travel 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. 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 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 Interview Process Chat with Recruiter (30 min) Chat with Member of the Team (45 min) Chat with Member of the Team (45 min) Chat with Hiring Manager (45 mins) Final Interview Loop (3 hours) Background & reference checks We move fast and keep candidates informed at every stage. Compensation The estimated salary range for this role is $100,000 – $150,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location. LI-SF1 LI-NY1 LI-Onsite Our Benefits We invest in our people the same way we invest in our product: seriously. Health, Vision, and Dental benefits ️ Take-what-you-need Paid Vacation ➕ Life Insurance and Accidental Insurance ❤️‍ Short-Term Disability Coverage Generous salary and equity for all staff 401k option; helping you save for the future ‍‍‍ Paid parental leave to support growing families Yearly learning and development stipend Commuter benefits for Bay Area employees Uber ride stipend if you ever have to work late in the office Remote office home stipend to get you comfy in your space Daily catered lunches provided ✈️ Onboarding trip to San Francisco HQ if you work remotely Monthly happy hours Annual Company Offsites; our last one was in Palm Springs CA Workplace Policy We are an in-person company. Our offices in San Francisco, New York City and London are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other. Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to one of our offices for their first week to onboard and meet the team, and we cover the full trip. Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. Equal Opportunity Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Pallet’s Candidate Privacy Notice here. Accommodations Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. 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