Product Strategy and Operations Principal, ML

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:

• Advanced degree or equivalent practical experience.
  
• Experience with R, SQL, spreadsheets, or similar analytics tools.
  
• Experience working with product and engineering teams.
• 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 (MSCA) organization is responsible for delivering Compute, platforms, and tools powering Google's AI-first products, research, and cloud. The organization is focused on maintaining Alphabet’s leadership in Machine Learning and Artificial Intelligence. In this role, you will work with the AI and Computing Infrastructure (ACI) and Technical Infrastructure (TI) businesses.

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.

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 long-term product strategy decisions to meet the needs of GCP and develop strategic analysis, working 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 strategic recommendations to leadership, based on strategic insights and analysis.
• 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, and drive annual planning for spend across prioritized initiatives.