Deployment Strategist (AI/ML Product)
Pallet, San Francisco, CA, United States
Pallet is building AI Agents to transform logistics — a $12T global industry. We’ve raised $50M from top investors including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures, and in under two years have achieved 700% revenue growth.
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 delivers end-to-end visibility and control, while our newest product, CoPallet, introduces AI Agents that can understand requests in real time and execute directly within customer systems.
As enterprise logistics teams increasingly turn to generative AI, Pallet is uniquely positioned to lead the category — combining deep industry expertise with cutting‑edge AI capabilities. We’re building toward the next $10B logistics company, and we’re just getting started.
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
4+ 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
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
Compensation
$120k–$240k base salary, depending on level and experience
Competitive equity and full benefits package
Interview Process
Chat with Recruiter (30 min)
Chat with Member of the Team (45 min)
Chat with Hiring Manager (45 min)
Final Interview Loop (3 hours)
Background & reference checks
Pallet is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr
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 delivers end-to-end visibility and control, while our newest product, CoPallet, introduces AI Agents that can understand requests in real time and execute directly within customer systems.
As enterprise logistics teams increasingly turn to generative AI, Pallet is uniquely positioned to lead the category — combining deep industry expertise with cutting‑edge AI capabilities. We’re building toward the next $10B logistics company, and we’re just getting started.
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
4+ 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
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
Compensation
$120k–$240k base salary, depending on level and experience
Competitive equity and full benefits package
Interview Process
Chat with Recruiter (30 min)
Chat with Member of the Team (45 min)
Chat with Hiring Manager (45 min)
Final Interview Loop (3 hours)
Background & reference checks
Pallet is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr