AI Deployment Strategist (EMEA)

Descripción del puesto

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role: As an AI Deployment Strategist, you are the long-term owner of our most important customer accounts. You pair with Account Executives to close: scoping pilots, setting success criteria, and running the technical side of the commercial conversation. At signature, you take the account and stay on it, driving adoption and expansion over years rather than quarters, so AEs can move to the next deal. This role suits entrepreneurial, technically credible operators; founder and founder CEO backgrounds are a strong fit. What we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background. Key Responsibilities: Account Ownership: Own the customer relationship and commercial outcome from signature onward, including adoption, expansion, and renewals. Deal Support: Partner with AEs pre-signature on pilot scoping, success criteria, and technical-commercial framing. Delivery Cadence: Run the operating rhythm of the account across the customer's and Fireworks' teams (FDEs, AMLEs, product, support). Value Realization: Translate customer goals into concrete deployment milestones and make sure they land. Expansion Strategy: Identify and drive new workloads, teams, and use case