Software Engineering Manager, BigQuery

Google place Kirkland, WA, USA

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X 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:

• 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

• 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.

• 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.

• 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.
• Design and develop large‑scale software services that revolutionize data analytics, with a focus on Machine Learning and Generative Artificial Intelligence applications.
• Collaborate closely with technical leads to launch innovative solutions leveraging the power of Large Language Models, Agents, and other advanced Artificial Intelligence techniques.
• Engage with product managers and customers to decipher requirements and translate them into actionable technical specifications, while identifying opportunities to integrate Machine Learning and Generative Artificial Intelligence solutions.

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.

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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