Job Description
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.
Preferred qualifications: - Advanced degree or equivalent practical experience.
- Experience working with Product and Engineering teams.
- Experience with R, SQL, spreadsheets, or similar analytics tools.
- Experience driving strategic and operational initiatives across various functional domains and geographies.
- 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 at a scale, price, and efficiency years ahead of what is possible anywhere else in the world. The organization is foundational to maintaining Alphabet’s leadership in Machine Learning and Artificial Intelligence. The team works on some of the most exciting, leading edge, and technologies in the world at planet scale.
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 $171,000-$254,000 + 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 - 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 sound long-term product strategy decisions to meet the needs of Google Cloud Platform (GCP).
- 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 insightful data-driven strategic recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Job Tags
Full time,