Product Manager, Location and Age

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. Our mission is simple to state but exceptionally complex to execute: Enable Google and partners to easily provide compliant and appropriate experiences based on the user’s age and location. At LASSO (Location and Age Signals and Solutions), we solve the challenge of providing digital experiences that are safe, legal, and age-appropriate for users across different global locations and demographics. We build, optimize, and maintain the internal platforms that Google products like YouTube, Search, and Play rely on to understand user age and location. In a world where international laws are becoming more complex, our team ensures Google remains safe and trusted worldwide. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Act as a platform strategist managing massive technical systems where your primary customers are internal developer teams. Define the strategic roadmap for ingestion, storage, and infrastructure pipelines, ensuring sensitive age and location signals are processed securely, reliably, and at Google scale. Serve as a strategic lead comfortable partnering with Engineering Leads and Principal Architects. Lead the cross-Google telemetry logging, warehousing, and funnel metrics strategy. Architect central dashboards that translate pipeline latency and metrics modeling into business-critical compliance solutions. Direct hybrid, multi-location cross-functional teams (PM, SWE, UX, DS, Legal) across Munich and Kirkland, utilizing executive presence to align competing priorities behind a single foundation strategy in fast-moving regulatory environments. Drive crucial work streams including PA integration, traffic sessionization, age signals storage, and scalable infrastructure tooling, maintaining focus on long-term platform health while achieving rapid compliance milestones. Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management or related technical role. 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: Master’s degree in a technical or business-related field. Experience managing multi-layered stakeholder networks and driving alignment across multiple product areas (PAs). Experience managing high-priority programs. Background in Trust and Safety, Identity, Security, Payments, or regulated global compliance spaces. Deep knowledge of telemetry ingestion, metrics infrastructure, and data warehousing strategies. Demonstrated ability to lead technical teams through complex infrastructure migrations without disrupting business-critical operations. Bachelor's degree or equivalent practical experience. 5 years of experience in product management or related technical role. 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience integrating generative AI tools or LLM interfaces into workflows.