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Associate Deployment Strategist (AI/ML Product)
Pallet · New York, United States
About The Role
Join Pallet, a fast-growing AI/ML product company, as an Associate Deployment Strategist. In this client-facing role, you will own customer deployments from discovery and workflow design through execution, launch, and ongoing success. You will work closely with customers, Agent Delivery Engineers, Product, Sales, and Success to turn messy real-world processes into reliable AI agent workflows. This is a high-growth opportunity for someone early in their career who is highly organized, analytical, and comfortable operating in a fast-moving environment.
- Serve as the executive point of contact for customer deployments and long-term success, leading customer discovery to understand workflows, constraints, and success criteria.
- Translate complex business processes into executable AI agent workflows, partnering with Agent Delivery Engineers to validate assumptions and execute technically.
- Own deployment plans, timelines, risks, and stakeholder communication, proactively managing scope changes, escalations, and expectation-setting.
- Comfort working with customers and asking thoughtful questions
- Basic technical acumen, including familiarity with APIs, JSON, SQL, or system workflows
- Interest in AI, automation, logistics, and operational systems
- Ability to operate in a fast-moving environment and create structure from ambiguity
- Strong analytical skills and attention to detail
- Ability to break down complex workflows into clear steps, requirements, and decisions
- Strong organization and follow-through across multiple workstreams
- 1+ years of experience in a customer-facing, operations, implementation, consulting, product, support, or technical project role
- Clear written and verbal communication skills
- Comfort working in spreadsheets and presentation tools
- Technical degree or technical coursework in CS, Engineering, Math, Data, or related fields
- Prior experience in implementation, customer success, solutions, or operations
- Experience at a SaaS, logistics, supply chain, marketplace, or workflow automation company
- Experience working with AI-driven or automation products
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