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 ... more details
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 Machine Learning, Systems and Cloud AI organization is responsible for delivering Compute, platforms, and tools powering Google's AI-first products, research, and cloud at scale and efficiency.
In this role you will work with the product management, engineering, and other cross-functional teams (e.g., Sales, Marketing, Go-to-Market, Finance, Corporate Development, Supply Chain) to develop business-level and product strategies (e.g., multi-year business plan, specific product strategies, new product business cases, and Go-to-Market strategy), drive strategic projects (e.g., buy/build/partner models, business cases), support new initiatives, and provide analytics support (e.g., define key business metrics, perform analysis or market analysis to answer important questions on product trends and business performance).The US base salary range for this full-time position is $165,000-$248,000 + 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.
- Drive business and product strategy for the various domains within Machine Learning, and AI Cloud systems working with product and engineering leadership.
- Develop strategic analysis, work with leadership and product management teams (e.g., market sizing, buy, build, or partner assessment, strategy/game theory, portfolio rationalization).
- Develop commercial models, pricing/packaging strategies, business cases, and financial models/projections.
- Provide data-driven recommendations to leadership, based on strategic insights, and analysis.
- Define and track key product, business metrics, or KPIs, lead monthly and quarterly business reviews that enable feedback and decisions, and drive annual planning (e.g., headcount, operating expenses).
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 11 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 cross-functional programs or projects.
- Experience working in a Cloud environment (e.g., Infrastructure, Platforms, ML/AI).
Preferred qualifications:
- Master's degree, PhD, or equivalent practical experience.
- 2 years of experience at a management consulting firm.
- Experience working with product and engineering teams.
- Ability to structure analysis and drive/execute data modeling and reporting initiatives.
- Ability to deliver presentations and build partnerships with executive leaders and their teams across Google.
