Senior Staff Product Data Scientist Manager, AI Subscriptions

Senior Staff Product Data Scientist Manager, AI Subscriptions Location: Mountain View, CA, USA; San Francisco, CA, USA Apply: Google

SAN FRANCISCO FAIR CHANCE ORDINANCE STANCE

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA . Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 13 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years of experience with a Master's degree. 5 years of experience as a people manager within a technical leadership role. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 6 years of experience as a people manager within a technical leadership role. Experience working in growth, subscriptions, or business growth. About the job In this role, you will drive critical insights that inform the long-term strategy, product roadmap, and business model for Google’s flagship consumer AI plus, pro and ultra subscriptions and our core Google One storage subscriptions. Acting as a member of the Google One leadership team, you will directly inform our product and go-to-market approach for storage and AI subscriptions. You will be advocating product insights, delivering compelling presentations to executive and business audiences that transform complex technical ambiguity into clear, actionable business solutions. You will drive technical excellence across our Google One Data Science team, driving the team’s adoption of AI tools while maintaining a high bar of investigative excellence. You will work closely with cross-functional and cross-Product Area teams and their leadership (across product, engineering, strategy, finance, partnerships, design/UX, operations, and marketing). You will possess excellent investigative skills, strong business acumen, and an ability to influence leadership and cross-functional peers using various forms of communication. Google One (G1) is Google's membership for personal cloud storage and Google's cutting-edge AI features. G1 is one of Google's fastest growing subscriptions, with over 150 million subscribers. This is a unique opportunity to be part of a high-impact team, shaping the future of our subscriber experiences, premium features and business growth initiatives. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $334000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Address ambiguous or new problems by using the capabilities of existing systems. Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives. Deliver complex analyses to drive high-stakes strategic business decisions, and empower organizational excellence by upleveling experimentation and analytical infrastructure to scale high-quality, data-driven decisions. Advocate product insights by delivering compelling presentations to executive and business audiences to transform technical ambiguity into actionable business solutions. Lead, mentor, and develop a global team of Data Scientists to lead complex projects. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr Google