Software Engineering Manager, GenAI Quality for Photos

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Bonus target 20%

Equity

Benefits

Job summary

Google in Mountain View seeks a Software Engineering Manager to lead ML design, deploy GenAI systems, and guide engineers across multiple teams and locations.

You will own outcomes, set technical direction, review designs, and help engineers grow while partnering with product managers to deliver high-impact features at scale.

The role includes managing budgets, coordinating with infrastructure, and advancing research initiatives in AI and large-scale processing.

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 GenAI techniques (e.g., large language models, multi-modal, large vision models) or GenAI concepts.
• 2 years of experience in a people management or team leadership role.

Responsibilities

• Own the outcomes and technical decisions made by the team.
• Drive engineering quality and technical excellence across all team deliverables.
• Review technical designs and drive alignment for high-performing GenAI systems.
• Identify and allocate projects according to team skillset, interests, and availability.
• Collaborate with product managers to maximize quality for engineering effort and risk.

Skills

ML design

Leadership

GenAI

Team management

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS or related field

Job description

Google in Mountain View seeks a Software Engineering Manager to lead ML design, deploy GenAI systems, and guide engineers across multiple teams and locations.

You will own outcomes, set technical direction, review designs, and help engineers grow while partnering with product managers to deliver high-impact features at scale.

The role includes managing budgets, coordinating with infrastructure, and advancing research initiatives in AI and large-scale processing.