AI/ML Engineering Lead — Gen AI & Team Strategy

Google Inc.; Sunnyvale, Kirkland (CA, WA); On-site; USD 260,000 - 320,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

20 days PTO per year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Inc. is seeking a Senior Software Engineering Manager, AI/ML, to own outcomes and shape the technical roadmap across AI initiatives. You will lead engineers across multiple teams, manage project goals, and influence product strategy while developing a high-performance team.

You will work on frontier-level AI problems at scale, coordinating with stakeholders and driving execution across AutoCloud priorities in a global environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.
• 5 years of experience with generative AI agents.

Responsibilities

• Define technical roadmap and accelerate Autonomous, Agentic development, AI-Engineering, and Agent Harness innovations.
• Lead multiple teams across locations and oversee large-scale projects.
• Drive substantial outcomes in the Agentic era by solving novel AI-specific problems at planet scale.

Skills

Software development

Technical leadership

People management

Generative AI

AI agents

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD (preferred)

Job description

Google Inc. is seeking a Senior Software Engineering Manager, AI/ML, to own outcomes and shape the technical roadmap across AI initiatives. You will lead engineers across multiple teams, manage project goals, and influence product strategy while developing a high-performance team.

You will work on frontier-level AI problems at scale, coordinating with stakeholders and driving execution across AutoCloud priorities in a global environment.