Senior Software Engineering Manager, AI/ML

Google; United States; On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health, dental, vision, life, dis​能力 =

Retirement Benefits: 401(k) with match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Job summary

Google Cloud is seeking a Senior Software Engineering Manager, AI/ML to lead multiple teams across Sunnyvale and Kirkland. You will own technical roadmaps, mentor engineers, and ensure delivery of high-impact AI initiatives.

You will drive autonomy in agentic AI projects, collaborate with product and research, and scale systems for planet-wide use while managing budgets and stakeholder expectations.

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

• Set and communicate team priorities that support the broader organization's goals.
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Skills

Outcomes ownership

Decision making

Ambiguity handling

Influencing stakeholders

AI domain expertise

Education

Bachelor's degree

Master's degree

PhD

Job description

Senior Software Engineering Manager, AI/ML

Google

Sunnyvale, CA, USA; Kirkland, WA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

• Health, dental, vision, life, disability insurance


• Retirement Benefits: 401(k) with company match


• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment


• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance


• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks


• Baby Bonding Leave: 18 weeks


• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum 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.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.


• 5 years of experience working in a complex, matrixed organization.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

In this role, you must possess deep, frontier-level AI expertise and will be responsible for defining technical roadmap and accelerate Autonomous, Agentic development, AI-Engineering, and Agent Harness innovations to drive high-excellence execution across AutoCloud priorities. The role requires a leader who can drive substantial outcomes in the \"Agentic era\" by solving novel AI-specific problems at planet scale and establishing key platforms as authoritative systems within the Google Cloud ecosystem.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.


• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.


• Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.


• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.


• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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