Software Development · 330k people
Product Strategy and Operations Lead, Knowledge and Information Compute Strategy
Posted 13 Oct
What’s this role about? The role involves shaping the allocation, governance, and optimization of accelerated compute resources across Knowledge and Information product areas. You will lead multi-year demand strategies, manage compute capacity, and drive executive-level decision-making processes.
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Company
About Google A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
Responsibilities
- modeling frameworks and explore and integrate a variety of signals both
- structured (datasets on user traffic) and unstructured (product roadmaps and
- signals from product teams).
- Go deep on areas related to demand as needed, e.g., TPU utilization, organic
- growth and seasonal user traffic patterns.
- Help product areas translate complex data on upcoming demand into digestible
- insights to facilitate decision making and tradeoffs.
- Architect the agenda, briefing materials, and analytical narrative for
- executive syncs. Formulate data-driven business justifications to help K&I
- product areas successfully request TPU resources.
- Organize collaboration between K&I product areas to improve each’s plans and
- identify capacity fungibility to help address any individual K&I product area
- capacity shortfalls.
Qualification
Required
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, corporate strategy, product
- strategy and operations (PS&O), investment banking, or a strategy and
- operations role.
- Experience developing and executing multi-year business or product
- strategies, and building cross-organizational processes.
Preferred
- Advanced degree or equivalent practical experience at a leading management
- consultancy or technology company.
- Experience with data modeling, demand forecasting, SQL, and executive
- dashboarding/visualization. Experience using AI tools for these tasks and
- familiarity with AI/ML product ecosystems, accelerated compute
- infrastructure, or cloud/capacity planning.
- Ability to translate long-term goals into actionable prioritization and
- resource allocation frameworks.
- Proven ability to influence without authority across technical and business
- teams and synthesize concepts into clear, executive-ready communications.
- Excellent communication and presentation skills, with a track record of
- serving as a trusted thought partner.
- Strong project and operations management skills.
Benefits
- Bonus
- Equity
- Health Insurance
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