Deployment Strategist (AI Team)
Lead end-to-end onboarding for new CoPallet customers, translating logistics workflows into production-ready agent configurations.
About Pallet
Pallet is building AI Agents to transform logistics — a $12 trillion global industry.
Location: New York City — in-office (5 days/week) with ~monthly travel for customer milestones. (Final interview onsite in NYC.) HQ is San Francisco.
You could be a Deployment Strategist anywhere — why us?
Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years) tackling a massive market.
Work directly with Catherine Temkin, Head of Success (ex-operator who’s scaled enterprise programs and customer success orgs).
Help transform a $6T+ industry with AI agents that actually touch freight, not just slideware.
About the opportunity:
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.
How you will make an impact:
- 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.
Preferred experience:
- 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.
- Bonus points for experience in logistics systems (TMS, WMS), PMP certification, or prior startup/zero-to-one environments.
Our Benefits:
🩺 Health, Vision, and Dental benefits🏝️ Flexible PTO➕ Life and Accidental Insurance❤️🩹 Short-Term Disability Coverage💸 Generous salary and equity for all staff🪜 401k option📚 Yearly learning & development stipend🚌 Commuter benefits for Bay Area employees🚘 Uber ride stipend when working late in the office🏡 Remote office home stipend🍔 Daily catered lunches via Sharebite (each meal donates a meal)✈️ Onboarding trip to SF HQ if you work remotely🥤 Monthly happy hours🎉 Annual company offsites, our last one was in Palm Springs 🌴🍹
Compensation:
The estimated salary range for this role is $115,000-$175,000 base, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and significant growth opportunities. Final compensation will be determined based on experience, qualifications, and location.