Forward Deployed Engineer - Munich

About the Role

The role is based in Munich, with a hybrid work model that includes 3 days in the office per week. Relocation assistance is available, and travel up to 50% may be required. As a Forward Deployed Engineer, you will be working closely with various teams, including Product, Research, Partnerships, GRC, Security, and GTM, to ensure the successful deployment of Openai's AI models.

What You Will Do

• 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
• Collaborate with the Research team to develop new AI models and improve existing ones
• Work with the Product team to develop product roadmaps and ensure alignment with customer needs
• Partner with the GTM team to develop go-to-market strategies for new AI models
• Develop and maintain technical documentation for AI models and systems
• Stay up-to-date with industry trends and developments in AI

What We Are Looking For

• 5+ years of engineering or technical deployment experience that includes customer-facing work
• Experience scoping and delivering complex systems in fast-moving or ambiguous environments
• Ability to write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
• Experience building or deploying systems powered by LLMs or generative models and understanding how model behavior affects product experience
• Strong communication skills, with the ability to simplify complexity and make fast, sound decisions under pressure
• Ability to communicate clearly with engineers, product teams, and customer stakeholders
• Experience spotting risks early and adjusting without slowing down
• Strong judgment and calm demeanor in high-pressure situations
• Experience working in a hybrid or remote work environment
• Strong understanding of AI and machine learning principles
• Experience with Adjust and GTM

Nice to Have

• Experience working with cloud-based technologies such as AWS or Azure
• Familiarity with agile development methodologies such as Scrum or Kanban
• Experience with continuous integration and continuous deployment (CI/CD) pipelines
• Knowledge of cybersecurity best practices and experience implementing secure coding practices
• Experience with data analytics and visualization tools such as Tableau or Power BI

Benefits and Perks

• Competitive salary and equity package
• Opportunity to work on cutting-edge AI projects with a talented team of engineers and researchers
• Collaborative and dynamic work environment with a hybrid work model
• Relocation assistance for eligible candidates
• Travel opportunities up to 50%
• Access to cutting-edge technologies and tools
• Professional development opportunities, including training and conference sponsorships
• Comprehensive health and wellness benefits, including medical, dental, and vision insurance
• Generous PTO policy, including vacation days, sick leave, and holidays

• Be prepared to provide specific examples of your experience with GTM and Adjust, and how you have applied these skills in previous roles.
• Show a strong understanding of AI and machine learning principles, and be prepared to discuss how you have applied these concepts in real-world projects.
• Highlight your ability to communicate complex technical information to non-technical stakeholders, and provide examples of how you have done so in the past.
• Emphasize your experience working in a hybrid or remote work environment, and discuss how you stay productive and manage your time effectively in these settings.
• Be prepared to discuss your experience with cloud-based technologies, agile development methodologies, and CI/CD pipelines.
• Consider creating a portfolio of your work, including examples of your code and projects you have led or contributed to, to demonstrate your skills and experience to the hiring team.
• Research Openai's company culture and values, and be prepared to discuss how your own values and work style align with those of the company.