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Zip is the AI platform for enterprise procurement — built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world’s most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they’ve saved over $8 billion and processed over $500 billion in spend. Zip’s team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. YOUR ROLE Be at the forefront of how Zip transforms enterprise procurement through AI. As an AI Forward Deployed Engineer, you will embed directly inside our most strategic accounts, uncover the operational problems that are hardest to see from the outside, and build working solutions using Zip's agent infrastructure and AppStudio. You will own a small book of enterprise accounts end-to-end, with accountability not just for deploying AI but for expanding the scope of what we are solving inside each one. The measure of success is whether the customer's highest-priority problems get solved, and whether that earns you access to the next ones. You will work where Zip's platform meets real enterprise complexity, across procurement, finance, legal, and risk workflows, and you will be expected to see what needs to exist before the customer can articulate it. The right person for this role is mission-driven, moves fast, and is passionate about driving outcomes for customers. You have enough domain knowledge to earn trust quickly inside an enterprise, and enough technical fluency to build it yourself without waiting on someone else to do it.