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Salary: USD 150,000 - 240,000 / annual
Pallet is building AI agents to transform the physical economy, a $12 trillion global industry. The company has raised $50M from top investors including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures, achieving 700% revenue growth in under two years.
As Enterprise Deployment Strategist, you will own customer deployments end-to-end for Pallet's AI agent platform, which automates supply chain workflows from scheduling and appointment setting to data entry and load management. This is a highly client-facing, high-ownership role for senior operators who thrive under pressure and ambiguity.
You will serve as the executive point of contact and connective tissue between customers, Agent Delivery Engineers, Product, Sales, and Success teams. Your responsibilities include leading customer discovery to understand workflows and constraints, translating complex business processes into executable AI agent workflows, partnering with engineers to validate and execute technically, configuring and testing agent configurations, owning deployment plans and timelines, leading customer kickoffs and QBRs, managing scope changes and escalations, and continuously improving deployment processes.
Success means customers have clearly defined, executable workflows aligned to their business reality; deployments stay on track despite ambiguity or complexity; executives feel informed and confident in Pallet as a long-term partner; internal teams are aligned and accountable; and deployment processes become more repeatable and scalable.
You bring 6+ years in customer-facing roles (Product, Engagement, Consulting, Founder, etc.), strong technical acumen to reason about workflows and APIs, comfort in fast-moving ambiguous environments, excellent communication skills, experience managing multiple concurrent high-stakes projects, familiarity with LLMs and APIs, strong Excel/PowerPoint skills, SaaS experience, and basic SQL literacy. Nice-to-haves include a technical degree or equivalent experience and prior work with AI-driven or workflow automation products.
The role requires in-person presence in either San Francisco or NYC office (5 days/week) with approximately 25-30% travel for key customer milestones and kickoffs.
