Forward Deployed Engineering Manager, Generative AI, Google Cloud

Benefits

Parental leave

18 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

18 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Forward Deployed Engineering Manager, Generative AI, Google Cloud Tokyo, Japan As the Manager of the Forward Deployed Engineering team, you will lead a team of Forward Deployed Engineers who bridge the gap between the AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debug and together deploys bespoke agentic solutions directly within customer environments. In this role, you will provide technical mentorship to the team while balancing 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. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Serve as the technical lead, establish code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team. Partner with sales and tech leadership to define requirements for opportunities and deploy specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for the forward deployed engineering team, evaluate AI/ML, systems engineering, and coding skills to build an excellent engineering team. Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models), and

Read the full description at www.google.com. FewerJobs shows a preview and links to the original posting.