Product Strategy and Operations Principal, Cloud AI

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 Product Strategy and Operations team sits at the intersection of innovation and execution, guiding the trajectory of our most impactful initiatives. We operate in a highly dynamic and ambiguous space, requiring adaptable thinkers who can continuously evolve and drive clarity without relying on a predefined playbook.

We embrace complex issues and pivot quickly alongside shifting industry landscapes, ensuring that our products and foundational infrastructure remain firmly.

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.

Responsibilities:

• Shape foundational product strategy by designing and deploying advanced investigative frameworks that uncover actionable user insights and market trends.
• Synthesize complex, unstructured data sets into clear, recommendations for leadership and cross-functional partners.
• Develop metrics, serve insights agentically, and build predictive models that identify structural growth opportunities and resolve potential bottlenecks before they manifest.
• Conduct rapid iteration, A/B testing, and experimentation to validate the business impact of proposed product solutions.
• Build and maintain scalable analytical models and dashboards, ensuring the highest standards of data quality and reliability for enterprise-wide decision-making.

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 with financial forecasting, financial modeling.
• Experience in go-to-market, product strategy/planning, program management.

Preferred qualifications:

• Advanced degree or equivalent practical experience.
  
• Experience with Data science or Experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Experience working with product and engineering teams.
• Excellent written and verbal communication skills.