Product Strategy and Operations Lead, Machine Learning Systems
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
- Experience working with and analyzing data, and managing multiple projects.
Preferred qualifications:
- Master's degree.
- Experience working with product and engineering teams.
- Experience driving complex strategic and operational initiatives across various functional domains and geographies.
- Excellent strategic thinking, problem solving, analysis, and written/verbal communication skills, with effective business acumen and attention to detail.
- Excellent written and verbal communication skills.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
The ML, Systems and Cloud AI organization is responsible for delivering Compute, platforms and tools powering Google's AI-first products, research, and cloud at a scale, price, and efficiency years ahead of what is possible anywhere else in the world. The organization is foundational to maintaining Alphabet’s leadership in Machine Learning and Artificial Intelligence. The team works on some of the most exciting, leading edge, and complex technologies in the world at planet scale.
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 $144,000-$211,000 + 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
- Drive business and product strategy for the various domains within Machine Learning, and AI Cloud systems working with product and engineering leadership.
- Enable the product and engineering leadership to make sound long-term product strategy decisions to meet the needs of GCP.
- Develop strategic analysis, working with leadership and product management teams (e.g., market sizing, buy, build, or partner assessment, strategy/game theory, portfolio rationalization).
- Provide insightful data-driven strategic recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment.
- Lead cadence for managing the business, define and track key product, business metrics, or KPIs, lead monthly and quarterly business reviews that enable timely feedback and decisions, drive annual planning (ZBB, Headcount, OpEx) for spend across prioritized initiatives.
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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.
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