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Senior Software Engineering Manager, Natural Language for Databases

GoogleSunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more
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
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; New York, NY, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in Software Development.
  • 5 years of experience in a people management or team leadership role.
  • 2 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (Language Modeling, Computer Vision).
  • Experience building and deploying 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.
  • Experience with Google Cloud Databases and other Google Cloud Platform (GCP) service.
  • Experience with large-scale distributed databases, data warehouses, lakehouses and similar architecture.
  • Experience with semantic modeling, graph databases and knowledge graphs.

About the job

The Natural Language for Databases team's overall mission is to transform Cloud Databases for Agentic AI. We are at an inflection point where model capability and agentic software architectures have unleashed a revolution. Agents have become the predominant builders of applications which use databases and agents are increasingly also the users of these databases, displacing conventional applications. Our team's mission, in partnership with the wider Data Cloud organization, is to build the common platforms and frameworks needed to support agents on all databases.

The Natural Language team focuses on the automated translation of natural language into formal database queries so that agents can make full use of enterprise data, accurately and securely. This domain combines cutting edge ML research, novel agentic architectures, deep database understanding and scalable platform engineering to unlock natural language access to all of our Cloud Databases. The US base salary range for this full-time position is $262,000-$365,000 + 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 US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Deliver the industry's leading platform for empowering agents to use enterprise data. This is a top priority for a business unit of Google Cloud and we aim to win.
  • Develop a team of exceptionally strong software engineers, helping them to grow while navigating a fast-evolving, high stakes environment.
  • Provide cross-organizational leadership, interfacing with product, research, UX, program management and executive leadership. Expect regular engagement at Vice President level.
  • Balance the need for ongoing, open-ended research at the frontiers of AI and databases with the practical imperative to ship products and features that meet customers demands today.
  • Employ deep technical expertise and exceptional judgement to guide the team through uncharted technical challenges and complex multi-stakeholder tradeoffs.

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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.

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.
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