Job Abstract

As an Engineering Director, you will utilize expertise in Machine Learning, Large-Scale System Design, Responsible AI, or related areas. You will utilize experience in Computer Science with experience in one or more domains: Machine Learning, ML Infrastructure, Responsible AI. You will ensure comprehensive, automated, and robust ML lineage.

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 $278,000-$399,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

• Develop transparent and automated ML lineage and governance infrastructure and tooling for developing and launching Generative AI models and products in a compliant, secure, and safe, and with complete ML lineage and governance needs are to be balanced with developer velocity.
  
• Work with partners across Google to drive adoption. Influence partners and stakeholders within and across the organizations to build joint roadmaps and drive outcomes for AI governance.
  

Minimum qualifications:

• 15 years of engineering and technical leadership experience.
• Experience managing partnerships or client relationships.
  
• Experience with Engineering Tools and Infrastructure.

Preferred qualifications:

• Experience working with LM/GenAI infrastructure.
  
• Experience managing risk for organizations of Engineers.
  
• Experience motivating others at all levels by creating a shared sense of outlook and purpose.
  
• Technical expertise in systems and software with the leadership skills required to influence technical leaders across the company.
  
• Ability to quickly ramp up in new subject areas with short notice to guide a few weeks of mission-critical research into the largest potential risks related to Google infrastructure usage.
  
• Excellent thought-leadership, relationship building, and management skills, with internal stakeholders and external partners.