Nuvepro - Task Intelligence for the Enterprise
OpenAI

Ai Deployment Engineer Startups Munich Germany

Classified Tasks (18)

Automate 0%Augment 72%Human-Only 28%

Augment (13)

AI assists, human decides

Partner with engineering, research, and product teams to convert customer insights into evaluation systems, product improvements, and better model behavior

analytical

Translate complex, high-value use cases into clear signals that improve customer experience and underlying systems

analytical

Help optimize startup systems and convert operational learnings into durable improvements across OpenAI research and products

operational

Identify gaps and high-impact opportunities for improvement within customer workflows

analytical

Uncover and document failure modes in customer systems and workflows

technical

Prototype and iterate on prompts, agents, and workflow designs to evaluate system behavior

technical

Debug customer workflows and production integrations to resolve technical issues

technical

Design reproducible evaluations, benchmarks, and technical artifacts to measure model and product quality

analytical

Synthesize real-world usage patterns into concrete technical signals for Product and Research teams

analytical

Deliver actionable feedback and evaluation artifacts to influence roadmap and model development

leadership

Build repeatable tools, patterns, and evaluation approaches that scale across multiple use cases

technical

Shape OpenAI’s research and product direction by transforming customer findings into reproducible evaluations and technical insights

leadership

Ensure customer-grounded learnings are integrated into product roadmaps and model development processes

operational

Human-Only (5)

Requires human judgment

Work closely with frontier startups to deploy OpenAI technology safely and effectively

operational

Serve as a trusted technical advisor and thought partner to startup customers

leadership

Partner deeply on complex customer workflows to map end-to-end behavior and dependencies

operational

Operate in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvements

leadership

Build and maintain technical relationships within the startup ecosystem, serving as a partner to individual customers and the broader community

communication

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/ai-deployment-engineer-startups-munich-germany/) --- Skip to main contentResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Log inTry ChatGPT(opens in a new window)ResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)AI Deployment Engineer - Startups | OpenAICareersAI Deployment Engineer - StartupsGo To Market - Munich, GermanyApply now(opens in a new window)About the teamThe AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require proficiency in German for this role.About the roleWe are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.In this role, you will:Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.Have experience as a technical founder, or engineer at an early stage startupHave familiarity with, or interest in, model training pipelines and reinforcement learning.Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.Communic
Source: OpenAI careers · scraped 2026-05-22
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