Forward Deployed Engineer - Madrid
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval‑driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance and require travel up to 50%.
Responsibilities
Own technical delivery across multiple deployments from first prototype to stable production
Build full‑stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade‑offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow‑through
Qualifications
Bring 5+ years of engineering or technical deployment experience that includes customer‑facing work
Have scoped and delivered complex systems in fast‑moving or ambiguous environments
Write and review production‑grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have
📌 Forward Deployed Engineer (Madrid)
🏢 OpenAI
📍 Madrid
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