Forward Deployed Engineering Manager, GenAI, Google Cloud
Google · Boulder, CO
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- On site
- Full-time
- $234,000 / year
- Boulder, CO
Job highlights
- Lead AI/ML engineers in deploying AI solutions for customers.
- Provide technical mentorship and strategic alignment.
- Resolve production obstacles for AI maturity.
- Leverage Google's advanced AI portfolio and platforms.
- Collaborate with product and engineering teams.
About the role
About The Job
As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead a squad of 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 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 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 (MLOps, GenMedia, or Agentic systems) to key accounts.
- Lead technical hiring for forward deployed engineering, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad.
- Identify skill gaps in emerging tech (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.
Key skills/competency
- GenAI
- Forward Deployed Engineering
- Management
- AI/ML
- Cloud Computing
- Python
- Generative AI
- Agentic Solutions
- RAG Systems
- Technical Leadership
Skills & topics
- Forward Deployed Engineering Manager
- GenAI
- Google Cloud
- AI
- Machine Learning
- Cloud Computing
- Python
- Engineering Management
- Generative AI
- Vertex AI
How to get hired
- Tailor your resume: Highlight your 10+ years in cloud computing, Python expertise, and experience with GenAI solutions, multi-agent workflows, and RAG systems.
- Showcase leadership: Emphasize your 2+ years of managing technical teams and your people management experience.
- Demonstrate technical depth: Prepare to discuss your experience with AI tools, architecting AI solutions, and designing agentic systems.
- Understand Google's culture: Research Google Cloud's mission, values, and their commitment to AI innovation.
- Prepare for interviews: Expect questions on technical problem-solving, team leadership, and strategic thinking in AI deployment.
Technical preparation
Master cloud computing and Python deeply.,Develop GenAI, multi-agent, and RAG solutions.,Understand complex AI architecture and governance.,Practice designing agentic systems and workflows.
Behavioral questions
Describe a complex AI project you led.,How do you mentor and develop engineers?,How do you handle technical blockers for a team?,How do you align technical strategy with business goals?
Frequently asked questions
- What are the minimum qualifications for the Forward Deployed Engineering Manager, GenAI role at Google?
- The minimum qualifications include a Bachelor's degree in a STEM field or equivalent experience, 10 years in cloud computing or a technical customer-facing role with Python experience, 2 years of team management experience in a cloud environment, and experience developing GenAI solutions, multi-agent workflows, and RAG systems. People management experience is also required.
- What are the preferred qualifications for the Forward Deployed Engineering Manager, GenAI position at Google?
- Preferred qualifications include a Master’s or PhD in AI, Computer Science, or a related field, experience architecting AI solutions in complex infrastructures with a focus on data sovereignty and governance, expertise in designing user interfaces for AI systems emphasizing context, transparency, and explainability, and the ability to design secure, observable multi-agent systems using advanced design patterns.
- What will my responsibilities be as a Forward Deployed Engineering Manager, GenAI at Google?
- As a Manager of a GenAI Forward Deployed Engineering team, you will lead AI/ML engineers, provide technical mentorship, manage strategic alignment with various leadership teams, and help resolve production-level obstacles for AI solutions within customer environments. You will also establish code standards, partner with sales, lead technical hiring, identify skill gaps, and collaborate on product roadmaps.
- What is the salary range for the Forward Deployed Engineering Manager, GenAI role at Google?
- The US base salary range for this full-time position is $234,000-$325,000, plus bonus, equity, and benefits. The exact salary will depend on factors like job-related skills, experience, education, and work location.
- Does Google Cloud offer remote work options for the Forward Deployed Engineering Manager, GenAI role?
- While specific locations are listed (San Francisco, Atlanta, Boulder, Cambridge, Chicago, Reston, Seattle, Sunnyvale, Washington D.C., New York, Los Angeles), the job posting allows applicants to share their preferred working location from these options. It's best to discuss remote or hybrid possibilities with your recruiter.
- What kind of AI technologies will I be working with as a Forward Deployed Engineering Manager, GenAI at Google?
- You will be working with Google's advanced AI portfolio, including frontier Gemini models and the Vertex AI platform. This includes developing GenAI solutions, multi-agent workflows, RAG systems, and utilizing emerging technologies like MCP, tool-calling, and foundation models.