At a Glance
- Tasks: Lead a team of AI/ML engineers to develop and deploy innovative AI solutions for customers.
- Company: Join Google Cloud, a leader in AI technology and innovation.
- Benefits: Competitive salary, flexible working locations, and access to cutting-edge AI tools.
- Other info: Collaborative culture with opportunities for professional growth and mentorship.
- Why this job: Be at the forefront of the AI revolution and make a real impact in the tech industry.
- Qualifications: 8 years in cloud computing and experience managing technical teams; coding skills in Python preferred.
The predicted salary is between 80000 - 100000 € per year.
Google welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Paris, France; Munich, Germany; London, UK.
Minimum qualifications
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in cloud computing or a technical customer-facing role.
- 2 years of experience managing a software engineering, Forward Deployed Engineer (FDE), or similar technical customer-facing team in a cloud computing environment.
- Experience in Python or similar coding languages.
- Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
- Experience developing and deploying multilingual natural language processing models.
Preferred qualifications
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Experience designing end-to-end secure, observable multi-agent systems using design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
- Experience designing intuitive interfaces for AI and agentic systems, prioritising context engineering, transparency, and explainability to foster user trust.
- Experience architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
- Experience performing discovery interviews to identify business problems and translate hardware/AI constraints for C-suites and technical teams.
About the job
As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. In this role, you will provide deep‑dive technical mentorship to your team while balancing high‑level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production‑level obstacles, including data readiness issues, integration complexities, and state‑management challenges that hinder AI from achieving enterprise‑grade maturity. It’s an exciting time to join Google Cloud’s Go‑To‑Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google’s brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world’s most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind’s engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Responsibilities
- Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with Sales and Technical Leadership to define requirements for high‑value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
- Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team.
- Identify skill gaps in emerging technology (Model Context Protocol (MCP), tool‑calling, and foundation models), ensuring the team maintains subject‑matter expertise in an evolving AI stack.
- Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Forward Deployed Engineering Manager II, Generative AI, Google Cloud employer: Google
At Google, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As a Forward Deployed Engineering Manager II in Generative AI, you will have access to cutting-edge technology and the opportunity to lead a talented team in a dynamic environment, all while benefiting from extensive professional development resources and a commitment to diversity. Join us in London, Paris, or Munich, where you can make a meaningful impact in the AI revolution and enjoy a supportive workplace that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineering Manager II, Generative AI, Google Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud computing. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Forward Deployed Engineering Manager II, Generative AI, Google Cloud
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your cloud computing experience and any relevant AI projects you've worked on. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience in managing technical teams and deploying AI solutions.
Showcase Your Technical Skills:Since this role involves a lot of technical expertise, be sure to include specific examples of your coding skills, especially in Python or similar languages. We love seeing how you've tackled complex problems in previous roles!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get you on board!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud computing and AI technologies, especially Python and natural language processing. Brush up on your knowledge of multi-agent systems and design patterns like ReAct. This will help you answer technical questions confidently.
✨Showcase Your Leadership Skills
As a Forward Deployed Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to resolving production-level obstacles and fostering collaboration.
✨Understand the Business Context
Be ready to discuss how AI solutions can solve real business problems. Familiarise yourself with common challenges faced by C-suites and how your technical expertise can bridge the gap between technology and business needs. This shows you can think strategically.
✨Prepare for Discovery Interviews
Since you'll be performing discovery interviews, practice how to identify business problems and translate them into technical requirements. Think about how you would approach these conversations and what questions you would ask to uncover key insights.
