Deployment Strategist (AI Team)

Pallet•New York City, NY

1d•Onsite

About The Position

Pallet is building AI Agents to transform logistics — a $12 trillion global industry. We’ve raised $50M from top investors including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we’ve achieved 700% revenue growth and are just getting started. 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 provides end-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time and integrate directly with customer systems. 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). This is a foundational seat where you’ll be among the first Deployment Strategists, shaping our playbooks, metrics, and standards. You will be hands-on with AI agents, reasoning about agent behavior, edge cases, data flows, and integrations. You will have true cross-functional ownership, sitting at the intersection of customer goals, technical realities, and product roadmaps, then driving outcomes. You will learn from senior operators and engineers, with rapid growth meaning real scope and an 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.