# Deployment Strategist (AI/ML Product) at Pallet > United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Apallet%3A5220881007 (read 2026-11-06). ## Facts (observed) - Company: [Pallet](https://alderhq.app/companies/pallet) - Location text: San Francisco or New York City; New York; San Francisco - Where it can be done from (inferred): United States (evidence: "Location: San Francisco or New York City; New York; San Francisco") - Posted: 2026-08-25 (73 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/pallet/jobs/5220881007 - Skills listed (inferred): SQL, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 429): p25 $200k, median $248k, p75 $300k ## Description (the employer's text) ### About Pallet Pallet is building AI Agents to transform the physical economy, a $12 trillion global TAM. We’ve raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow supply chain teams down. Our flagship platform provides end-to-end visibility, and control. As companies across the physical economy look 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. $150,000 - $240,000 Full-time / Onsite (5 days/week) / ~25-30% Travel ### 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 - 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 mins) --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apallet%3A5220881007 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.