Deployment Strategist (AI Team)

Pallet•New York, NY

1d•$115,000 - $175,000•Onsite

About The Position

As a Deployment Strategist, you’ll lead end-to-end onboarding for new CoPallet customers. You’ll translate messy, real-world logistics workflows into production-ready agent configurations, orchestrate cross-functional execution with Product, Engineering, Biz Ops, Sales, and Success, and ensure customers realize measurable value quickly (speed, accuracy, and adoption). Why this role is different: Foundational seat: You’ll be among the first Deployment Strategists, shaping our playbooks, metrics, and standards. Hands-on with AI agents: Not just project management—reason about agent behavior, edge cases, data flows, and integrations. True cross-functional ownership: Sit at the intersection of customer goals, technical realities, and product roadmaps—then drive outcomes. Talent density: Learn from senior operators and engineers; rapid growth means real scope and accelerated career trajectory.

Requirements

5+ years leading program, project, implementation, or account management for enterprise SaaS products — ideally in complex, operations-heavy environments.
Proven track record running large, multi-stakeholder deployments ($200–500K+ contracts) with executive visibility and measurable outcomes.
Technically fluent: comfortable reasoning through APIs, EDI structures, JSON payloads, and system integrations; confident using tools like Excel and PowerPoint.
AI-curious (or better): understands the basics of large language models and agent behavior, and can think through prompts, rules, and guardrails conceptually.
Demonstrated ability to build repeatable processes, training materials, and documentation for enterprise rollouts — organized, calm under pressure, and skilled at prioritization.

Nice To Haves

Experience in logistics systems (TMS, WMS)
PMP certification
Prior startup/zero-to-one environments

Responsibilities

Own enterprise onboardings end-to-end: discovery → workflow mapping → agent configuration → pilot → scale.
Design and document workflows (BOL ingestion, order entry, quoting, appointment setting) and translate them into agent prompts, rules, and schemas.
Coordinate integrations and data flows with Product/Eng (APIs, EDI/JSON payloads, TMS/WMS/CRM touchpoints); identify and close gaps.
Create repeatable playbooks (RACI, timelines, KPIs, risk logs, executive updates) that shorten time-to-value and increase adoption.
Drive stakeholder alignment across operations leaders and execs; de-escalate issues and keep programs on track.
Measure what matters (time-to-first-value, accuracy, throughput, agent containment); surface insights to inform roadmap.
Travel for kickoffs and key milestones to ensure smooth execution and change management.