Deployment Strategist (AI/ML Product)

Pallet•San Francisco, CA

5h•$120,000 - $240,000•Onsite

About The Position

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.

Requirements

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
Strong Excel / PPT skills
SaaS experience
Basic SQL literacy

Nice To Haves

Technical degree (CS, Engineering, Math) or equivalent experience
Experience with AI-driven or workflow 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%)