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Software Engineering Manager, BigQuery

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Google
Full Time position
Listed on 2026-03-10
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 197000 - 291000 USD Yearly USD 197000.00 291000.00 YEAR
Job Description & How to Apply Below

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

Benefits for this role include:

  • 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 (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Minimum 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., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).
  • 2 years of experience in a people management or team leadership role.
Preferred Qualifications
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a matrixed organization.
  • Familiarity with Google Cloud Platform services, especially Data Analytics Services and Vertex Artificial Intelligence.
About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;

the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

In this role, you will be supporting Big Query and Looker products to design next-generation software services that will revolutionize the intersection of data analytics and Artificial Intelligence (AI). You will collaborate with a team of innovators to research, explore, and develop solutions that will bring the power of Machine Learning (ML) and Generative Artificial Intelligence to the forefront of Google Cloud Platform Data Analytics.

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.

The U.S. base salary range for this full-time position is $197,000–$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.…

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