Senior Engineering Director, AI Data Infrastructure

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $364000 - $510000 (USD) + 40% bonus target + bonus + equity + 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. 

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.