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Enterprise Deployment Strategist (AI/ML Product)
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Pallet
San Francisco, CA (In Person)
$180,000 Salary, Full-Time
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Job Description
Enterprise Deployment Strategist (AI/ML Product) Pallet Software Engineering, Product, Data Science San Francisco, CA, USA USD 120k-240k / year + Equity Posted on May 29, 2026 Apply now About Pallet Pallet is building AI Agents to transform logistics — 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 logistics 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 logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics. Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech. About the Role As Pallet scales into larger, more complex enterprise and mid-market customers, deployments become higher-stakes: more stakeholders, evolving requirements, real change management, and real consequences if things break. The Deployment Strategist owns customer deployments end-to-end, from discovery and workflow design through execution, go-live, and long-term success. You are the connective tissue between customers, Agent Delivery Engineers, Product, Sales, and Success. You ensure customers feel confident, informed, and supported, even as workflows, product capabilities, and internal processes continue to evolve. This is a highly client-facing, high-ownership role for senior operators who thrive under pressure and ambiguity. Why This Role Is Different You won't inherit a playbook, you'll help build it. This role owns enterprise deployments end-to-end, translating messy real-world operations into live AI agent workflows. You'll work directly with executives, shape how CoPallet scales, and play a defining role in how customers come to trust AI in mission-critical systems. 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 6+ years in customer-facing roles (Product, Engagement, Consulting, Founder, etc.) Strong technical acumen: able to reason about workflows, APIs, and system behavior Comfort operating in fast-moving, ambiguous environments Excellent written and verbal communication skills Experience managing multiple concurrent, high-stakes projects Familiarity with LLMs, APIs, JSON Strong Excel / PPT skills SaaS experience Basic SQL literacy Nice to Have Technical degree (CS, Engineering, Math) or equivalent experience Experience with AI-driven or workflow automation products Location & Logistics In Person based in our San Francisco office or NYC office Travel required for major customer milestones