Forward Deployed Engineering Manager, GenAI, Google Cloud

Forward Deployed Engineering Manager, GenAI, Google Cloud

Full-Time 80000 - 100000 € / year (est.) No home office possible
Google

At a Glance

  • Tasks: Lead a team of AI/ML engineers to develop and deploy innovative AI solutions.
  • Company: Join Google Cloud, a leader in AI technology and innovation.
  • Benefits: Competitive salary, remote work options, and access to cutting-edge AI tools.
  • Other info: Collaborative culture with excellent career growth opportunities.
  • Why this job: Be at the forefront of the AI revolution and make a real impact.
  • Qualifications: 10 years in cloud computing, Python experience, and strong people management skills.

The predicted salary is between 80000 - 100000 € per year.

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 10 years of experience in cloud computing or a technical customer-facing role, with experience in Python.
  • 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
  • Experience developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and RAG systems.
  • Experience in people management.

Preferred qualifications:

  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
  • Experience in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
  • Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (ReAct, self-reflection, etc.), state management, and tool-calling protocols.

About the job:

As a Manager of a Generative Artificial Intelligence (GenAI) Forward Deployed Engineering (FDE) team, you will lead a squad of artificial intelligence and machine learning (AI/ML) engineers who bridge the gap between AI products and production-grade reality within customers. You will be 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 technical mentorship to your team, managing high-level 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 issues 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 excel by leveraging 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 ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
  • Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts.
  • Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad.
  • Identify skill gaps in emerging tech (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, building internal tools to drive organizational efficiency.

Equal Employment Opportunity Statement:

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, GenAI, Google Cloud employer: Google

At Google Cloud, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to lead the AI revolution. As a Forward Deployed Engineering Manager, you will have access to cutting-edge technology and resources, alongside opportunities for professional growth and mentorship from industry leaders. Our commitment to diversity and inclusion ensures a supportive environment where every team member can thrive and contribute to meaningful projects that shape the future of cloud computing.

Google

Contact Detail:

Google Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Engineering Manager, GenAI, Google Cloud

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those at Google Cloud. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your experience with AI/ML, make sure to share them during interviews. It’s all about proving you can walk the walk.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills, especially in Python. Practice common algorithms and data structures, and be ready to tackle real-world problems they might throw your way.

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 serious about joining the team!

We think you need these skills to ace Forward Deployed Engineering Manager, GenAI, Google Cloud

Cloud Computing
Python
AI/Generative AI Solutions
Multi-Agent Workflows
People Management
Architecting AI Solutions
Data Sovereignty

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your 10 years in cloud computing and any technical customer-facing roles. We want to see how your experience aligns with the role, especially if you've managed teams or worked with AI solutions.

Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us you’re genuinely interested in the position.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your achievements and how they relate to the role. We appreciate brevity but also want to see the depth of your expertise.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Google

Know Your Tech Inside Out

Make sure you’re well-versed in cloud computing, Python, and AI/ML concepts. Brush up on your experience with multi-agent systems and generative AI solutions. Being able to discuss specific projects or challenges you've faced will show your depth of knowledge.

Showcase Your Leadership Skills

As a Forward Deployed Engineering Manager, you'll need to demonstrate your people management skills. Prepare examples of how you've mentored teams, resolved conflicts, or led projects. Highlight your ability to empower others and unblock obstacles for your team.

Understand the Business Impact

Be ready to discuss how your technical expertise translates into business value. Think about how your previous work has driven customer success or improved processes. This will help you align with Google Cloud's mission to solve real-world problems.

Prepare for Technical Questions

Expect to dive deep into technical discussions during your interview. Review architectural best practices, code standards, and design patterns relevant to AI solutions. Practising coding problems or system design scenarios can also give you an edge.