Minimum qualifications:
- Bachelor's degree in Finance, Business, a related field, or equivalent practical experience
- 10 years of experience in management consulting, business operations and strategy, investment banking, venture capital, private equity or corporate advisory, or equivalent product management experience at a technology firm
- 5 years of experience supporting executive stakeholders on business strategies and cross-functional initiatives
- Experience with people management
- Experience with machines infrastructure or AI/ML
- MBA, Master's degree or PhD in a Management, Technical or Engineering field
- 12 years of experience in consulting (e.g., software, Internet or media industries, or early stage companies)
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About the job
ML Strategy and Allocation (MLSA) is a cross-functional group accountable to Google leadership (via the MLSA SVP Steering Committee and Google-level reviews). MLSA facilitates the ML Compute strategy for Google, including balancing short- and long-term ML compute needs. For the short-term, MLSA evaluates the ML compute we plan to bring online (including amount, location, space, networking, etc.) as well as how we allocate that compute across Google's critical priorities. Longer-term, the MLSA determines what ML Compute trajectory is needed to support these Google's priorities.
MLSA advises Google leaders on the strategy and allocation of CapEx to critical cross-Google priorities supported by the appropriate business thesis and, where possible, link directly to the "to what end." Product Area leaders are responsible for their areas and contributing to cross-Google strategy.
The US base salary range for this full-time position is $208,000-$296,000 + 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 for new hire 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 .
Responsibilities
- Work with the MLSA leadership to define, launch, and drive strategic and operational initiatives.
- Research, analyze/assess opportunities, trends, and operating metrics to develop strategies, with executive stakeholders, objectives, and priorities for Alphabet's investment in ML infrastructure, and communicate findings to management and to the broader organization.
- Structure and execute operational and strategic initiatives by developing work plans, gathering and synthesizing relevant data, leading analyses, and developing final recommendations.
- Lead cross-functional, global teams and communicate findings to management, providing direction on execution of tasks.
- Collaborate with the Capital Engineering team to troubleshoot technical and/or machines infrastructure related projects and diligence reviews.