Associate Deployment Strategist (AI/ML Product)

Pallet•San Francisco, NY

7d•Onsite

About The Position

Pallet is hiring an Associate Deployment Strategist to help own customer deployments from discovery and workflow design through execution, launch, and ongoing success. The role supports mid-market customers, manages day-to-day customer coordination, and partners with senior team members on larger or more complex accounts. The strategist works with customers, Agent Delivery Engineers, Product, Sales, and Success to turn real-world operational processes into reliable AI agent workflows. This client-facing role is suited to someone early in their career who is highly organized, analytical, and comfortable in a fast-moving environment. The strategist will help define requirements, address edge cases, align stakeholders, support change management and testing, and provide go-live support. The role also contributes to building and scaling Pallet’s deployment playbook and onboarding processes. The position is based in person at Pallet’s San Francisco or New York City office, with work in the office five days per week and travel for key customer milestones and kickoffs. The estimated salary range is $100,000–$150,000, depending on experience, skill set, and location. The company also offers equity, benefits, and growth opportunities.

Requirements

At least 1 year of experience in a customer-facing, operations, implementation, consulting, product, support, or technical project role.
Strong organization and follow-through across multiple workstreams.
Clear written and verbal communication skills.
Comfort working with customers and asking thoughtful questions.
Ability to break down complex workflows into clear steps, requirements, and decisions.
Interest in AI, automation, logistics, and operational systems.
Strong analytical skills and attention to detail.
Comfort working in spreadsheets and presentation tools.
Basic technical acumen, including familiarity with APIs, JSON, SQL, or system workflows.
Ability to operate in a fast-moving environment and create structure from ambiguity.

Nice To Haves

Experience at a SaaS, logistics, supply chain, marketplace, or workflow automation company.
Experience working with AI-driven or automation products.
Technical degree or technical coursework in CS, Engineering, Math, Data, or related fields.
Prior experience in implementation, customer success, solutions, or operations.

Responsibilities

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.