
Software Engineering Manager II, AI/ML GenAI, Google Cloud AI
Seattle, WAJob$207–300K/yrSeen todaySeen in employer's feed today
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Job overview
Google’s Software Engineering Manager II will lead engineers across teams and locations, guide major technical projects, and contribute to product strategy and team development. The role focuses on Google Cloud AI research and real-world AI impact, including leading GenAI solution design, optimizing ML infrastructure, and guiding data preparation and model optimization. The manager will set team priorities, develop technical roadmaps, and oversee large-scale project deployment.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Software Engineering Manager II, AI/ML GenAI, Google Cloud AI
Share Software Engineering Manager II, AI/ML GenAI, Google Cloud AI
corporate_fare Google place New York, NY, USA; Seattle, WA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Software Engineering Manager II, AI/ML GenAI, Google Cloud AI
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XIn 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. Benefits for this role include:
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Health, dental, vision, life, disability insurance
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Retirement Benefits: 401(k) with company match
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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
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Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
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Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
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Baby Bonding Leave: 18 weeks
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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: New York, NY, USA; Seattle, WA, USA .
Minimum qualifications:
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Bachelor’s degree or equivalent practical experience.
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8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
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5 years of experienceleading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
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3 years of experience in a technical leadership role.
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2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
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2 years of experience in a people management or team leadership role.
Preferred qualifications:
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Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
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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.
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Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
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Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
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Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 1,204 open Software Engineering Manager jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$207–300K/yr
- Washington median$173–278K/yr61 salary ranges
- US median$143–262K/yr1,037 salary ranges
This range's midpoint, $254K, is 17% above the Washington median midpoint ($218K) — in the middle half of Software Engineering Manager salary ranges in Washington.
- Openings
- Olive Jobs lists 73 open Software Engineering Manager jobs in Washington and 1,204 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Google (this employer)11 open
- Microsoft Corporation10 open
- Amazon5 open
- Experience
- This posting asks for at least 8 years of experience; Software Engineering Manager postings that state a minimum ask for 7 years at the median (1,105 postings).
- Education
- 464 of the 1,204 open Software Engineering Manager jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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