Cloud Product Strategy and Operations Lead

1 Month ago • 8 Years + • Artificial Intelligence • $144,000 PA - $211,000 PA

Job Summary

Job Description

This Cloud Product Strategy and Operations Lead role at Google involves driving business and product strategy for Machine Learning and AI Cloud systems. You will collaborate with product and engineering leadership to make long-term product strategy decisions, develop strategic analyses (market sizing, buy/build/partner assessments), and create commercial models and pricing strategies. Responsibilities include leading business cadence, defining and tracking key metrics, conducting business reviews, and driving annual planning. The role requires strong analytical skills, experience working with product and engineering teams, and excellent communication skills. You'll work with the AI and Computing Infrastructure (ACI) and Technical Infrastructure (TI) businesses within the MSCA organization.
Must have:
  • 8+ years experience in relevant fields
  • Data analysis and project management skills
  • Strategic analysis and business planning
  • Develop commercial models and pricing strategies
  • Lead business cadence and track key metrics
Good to have:
  • Advanced degree
  • Experience with R, SQL, spreadsheets
  • Experience with product and engineering teams
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

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 Machine Learning (ML), Systems and Cloud AI 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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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 .

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 Google Cloud Platform (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, 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.

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