Senior Product Manager, Ads Quality Infrastructure and Experiments corporate_fare Google place Mountain View, CA, USA ; New York, NY, USA Apply info_outline info_outline X Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA . Bachelor's degree in quantitative field (Economics, Statistics, Engineering, etc) or equivalent practical experience. 8 years of experience in product management or related technical role. Preferred qualifications: Master’s degree in statistics, economics/econometrics, or a related quantitative field. 4 years of experience in a role preparing and delivering technical presentations to senior leadership. 2 years of work experience with statistics, experimental design, econometrics, causal inference in commercial settings leading products from conception to launch. Familiarity with concepts such as A/B testing, hypothesis testing, confidence intervals, statistical power, type 1 and 2 errors, sampling techniques, randomization. Ability to analyze data using SQL, a statistical programming language, and data visualization. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. As a Senior Product Manager, you will combine an understanding of experimentation infrastructure and data science best practices, advertising, and engineers’ user needs to generate insights into gaps and opportunities. In this role, you will work with engineers and data scientists to define, prioritize, and deliver a roadmap that includes solutions that improve power and accuracy in our experimentation tools, as well as improving our overall approach to running A/B tests and simulations to evaluate promising ideas. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $183,000-$271,000 + 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 Play a key role in powering the open internet by applying the best technology to connect and create value for people, publishers, advertisers, and Google. Synthesize insights based on our market, our infrastructure/data science approach, and engineers’ user needs to generate insights into gaps and opportunities. Define and measure success, including OKRs, metrics creation, trade-offs, and exit criteria. Partner with your team of engineers and data scientists to define a product roadmap, create product requirements, and co-lead product development. 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 . 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. #J-18808-Ljbffr Google
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