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Join to apply for the Group Product Manager, Tensor SoC CPU role at Google
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Join to apply for the Group Product Manager, Tensor SoC CPU role at Google
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA .Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in product management or related technical role.
- 5 years of experience taking technical products from conception to launch.
- 5 years of experience in software optimizations on hardware, accelerators and mobile ML software development.
- Master's degree in a technology or business related field.
- Experience working with cross-functional teams including research, silicon, software, system, operating systems, program management and product marketing teams.
- Experience defining and launching silicon products for consumer hardware or data center products.
- Understanding of embedded device internals in both software and hardware, including memory management, CPU scheduling and system architecture.
- Knowledge of mobile computing constraints, operating system and software frameworks/tools and software development life cycles.
- Excellent communication skills to lead initiatives with key stakeholders and executive management.
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.
In this role, you will make transformative user experiences possible with the help of cutting-edge ML running on our Tensor Processing Unit (TPU), CPU, GPU and other subsystems on the SoC.
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.
The US base salary range for this full-time position is $227,000-$320,000 + 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
- Understand product market needs, landscape, and emerging trends, develop a clear product roadmap, prioritize features, and articulate the value proposition.
- Work closely with engineering, research, and other technical teams to ensure successful product development and launch.
- Engage with customers to understand their needs and pain points, develop effective go-to-market strategies, and drive product adoption.
- Analyze product performance and customer feedback to iterate and improve the product.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Product Management and EngineeringIndustries
Information Services and Technology, Information and Internet
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