Product Manager II, Google Tensor

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. Experience with machine learning or software (memory performance, CPU scheduling) or hardware (system architecture) in mobile platforms. Preferred Qualifications Master's degree in a technology or business related field. 3 years of experience in a role preparing and delivering technical presentations to senior leadership. 2 years of experience in software development or engineering. 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. 1 year of experience in technical leadership. Familiarity with mobile computing constraints, OS and SW frameworks/tools, and software development life cycles. 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. We are the team that builds Google Tensor – Google’s custom System‑on‑Chip (SoC) that powers Pixel devices. Tensor makes transformative user experiences possible with the help of cutting‑edge ML running on our Tensor Processing Unit (TPU) ML accelerator complemented by CPU and GPU subsystems to deliver the foundational mobile experiences. Our goal is to productize the latest ML innovations and research by delivering heterogeneous computing hardware and software across CPU, GPU, and TPU. As the Product Manager, you will enable Tensor SoC to be the efficient performance platform for Android and first‑party and third‑party end‑to‑end developer journeys, including cutting edge ML and Generative AI. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Compensation The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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 Collaborate with Pixel and Android partners to identify compute CUJs and corresponding workloads that drive the performance requirements for the flagship Pixel phones. Prioritize these CUJs/Workloads and partner with the cross‑functional engineering teams for deeper understanding and analysis of the performance limiters (KPIs). Define differentiated and compelling silicon solutions and roadmap that leverage Google’s hardware, software, research, and ML capabilities. Co‑work with marketing, engineering, legal, and multiple cross‑functional teams for product and feature launches enabled with Google Tensor. #J-18808-Ljbffr Google