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.
Cloud AI manages digital transformation for global enterprises by providing advanced AI technologies and dynamic solutions that produce concrete business results. Google Cloud acts as a dynamic catalyst, accelerating the ability of organizations to modernize their operations and industry sectors. By providing solutions and tools for sustainable development, Google Cloud partners with organizations to solve business challenges and generate growth.
As the Principal of Product Strategy and Operations for Cloud AI, you will lead the evolution from legacy cloud AI structures to Agentic ecosystems. You will be responsible for the intelligent data platform road map .You will sit at the intersection of generative AI development and commercial execution. You are the architect of scale. You will act as a strategic partner to VP leadership, translating complex AI infrastructure needs into actionable business road maps and GTM strategies.
The US base salary range for this full-time position is $177,000-$257,000 + 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 benefits at Google.
Responsibilities
- Manage strategic analysis that informs Google Cloud’s AI strategy. Identify the impacts of growth through Independent Software Vendor (ISV) and solution partners. Analyze product opportunity size and identify business growth through customer cohort analysis
- Work with Vice President (VP) leaders to support day-to-day decision making through timely analysis, drive alignment, and effective presentation skills.
- Lead the strategic pivot from legacy cloud operations to an AI-native posture, identifying high-impact AI-ification opportunities.
- Design platforms that codify domain knowledge into agent systems, enabling stakeholders to interact with data.
Qualifications
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 analyzing data and managing cross-functional programs or projects.
Preferred qualifications:
- Experience with advanced SQL, Python, and BigQuery.
- Understanding of enterprise software business models.
- Ability to identify problems, design projects to address, execute with little guidance, and guide the work of more junior team members.
- Ability to ramp up quickly on a wide range of topics from accounting business recognition to AI/ML applications.
- Ability to independently drive complex projects with multiple executive stakeholders to successful completion.
- Ability to deconstruct complex, legacy operations and architect an Agentic AI replacement that achieves a step-function improvement in throughput or time-to-insight.