Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 10 years of experience in product management or related technical role. + 5 years of experience developing or launching products or technologies within security, privacy, or a related area. + 5 years of experience in people management, with technical leadership. 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. 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. You will then work closely with engineers and data scientists to define, prioritize, and deliver a roadmap including 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 (https://careers.google.com/benefits/) . + 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. + Demonstrate an understanding of experimentation infrastructure and data science best practices. + Possess understanding of advertising. + Analyze engineers’ user needs to generate insights into gaps and opportunities. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.