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Senior Engineering Director, AI Data Infrastructure

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Mountain View, CA • Posted Today
Onsite Full Time Not specified Level software_engineering

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 20 years of professional experience in software engineering leadership roles.
  • Experience in distributed systems architecture and building systems.
  • Experience building, supporting and leading organizations within an environment with many partners/stakeholders.

Preferred qualifications:

  • Experience leading the design and operation of GenAI data collection and curation infrastructure, including the data collection and quality, curation, and delivering capability gains in frontier GenAI model performance.

About the job

As the Senior Engineering Director for the software engineering team called AI Data Infrastructure, you will be responsible for delivering critical AI Data infrastructure that supports collection and curation of data that goes into the development of Google’s world leading AI models and products.

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 US base salary range for this full-time position is $365,000-$505,000 + 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

  • Lead a fast-paced technical organization responsible for delivering the leading data collection and curation platforms that power the development of Google’s AI products and models.
  • Own and set the AI Data Infrastructure strategic roadmap, execution and ongoing alignment with key partner teams, including Deepmind and Google Cloud.
  • Evolve the strategic direction for the organization as the set of challenges and opportunities for Google rapidly changes.
  • Be an integral part of the AI2/CBS Leadership team in evolving our data and ML strategy.
  • Develop and grow talent through effective mentoring, development, coaching, and inspiring with a strong focus on talent management and instilling a data-driven culture that thrives in a fast-paced environment. 
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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