GenAI ML Engineering Manager

Google Inc.; Seattle (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days/year

Sick time 40–69 hours/year (Seattle)

Maternity leave 28–30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Seattle is seeking an Software Engineering Manager to lead GCS Agentic AI initiatives. The role emphasizes owning outcomes, guiding ML design and infrastructure, and influencing stakeholders across teams in a fast-paced environment.

Ideal candidates bring extensive software development experience, strong leadership, and a track record with GenAI techniques and multi-region cloud storage. In-person interviews are typical in Washington state.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI concepts.
• 2 years of experience in a people management or team leadership role.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals.
• Establish clear expectations with individuals based on their level and role.
• Develop mid-term technical goals and roadmaps for the team(s).
• Design, guide and vet system designs within the broader scope and contribute code.
• Review code from other engineers and provide feedback to improve quality and efficiency.

Skills

Outcomes ownership

Decision making

Ambiguity solving

Stakeholder influence

GenAI／LLMs

Team leadership

People management

Software development

Education

Bachelor's degree or equivalent

Tools

GenAI tooling

Cloud storage

Job description

Google Seattle is seeking an Software Engineering Manager to lead GCS Agentic AI initiatives. The role emphasizes owning outcomes, guiding ML design and infrastructure, and influencing stakeholders across teams in a fast-paced environment.

Ideal candidates bring extensive software development experience, strong leadership, and a track record with GenAI techniques and multi-region cloud storage. In-person interviews are typical in Washington state.