Enterprise Deployment Strategist (AI/ML Product)

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