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Job Details
Posted date: Oct 14, 2025
Location: Kirkland, WA
Level: Senior
Estimated salary: $177,500
Range: $144,000 - $211,000
Description
Serve as a trusted data expert and advisor to the Offline Ads Product and Engineering teams. Identify opportunities and risks through in-depth data exploration and analysis including cohort analysis, churn analysis. Design and implement measurement frameworks to track key performance metrics and the impact of initiatives. Translate insights into quantifiable improvements in key metrics such as product adoption, rates and financial performance.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.
As a part of the Offline Ads team, you will drive advertiser adoption by focusing on three key pillars that is building awareness and trust, improving onboarding and optimization, and expanding campaign surfaces and formats. You will help advertisers leverage Google's technology to drive offline behaviors like store visits and sales, delivering high ROI through valuable conversions while meeting users at key steps in their journey.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 $144,000-$211,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, product management and strategy, or analytics in a technology company. 5 years of experience working with and interpreting datasets (SQL), as well as working with data visualization tools (ex. Dashboards). Experience working with and analyzing data, and managing multiple projects.Preferred qualifications: Advanced degree or equivalent practical experience. Experience providing insightful data-driven recommendations to leadership, based on insights, analysis, experience, technical acumen, and good judgment. Experience with R, SQL, spreadsheets, or similar analytics tools. Experience working with product and engineering teams. Excellent written and verbal communication skills.
Extended Qualifications
Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, product management and strategy, or analytics in a technology company. 5 years of experience working with and interpreting datasets (SQL), as well as working with data visualization tools (ex. Dashboards). Experience working with and analyzing data, and managing multiple projects.Check out other jobs at Google.