Job Location: Mountain View, CA
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience
- 7 years of experience in product management with technical products
- Experience driving elements of the product development lifecycle (i.e., product roadmap, go-to-market strategy, driving requirements, and product launch)
Preferred qualifications:
- Experience defining and launching silicon products
- Experience in tablets, smart phones, consumer electronics, Machine Learning, AI/ML Speech recognition and generation , Processor design or architecture, Semiconductors, Electronics, SoC design
- Expertise with consumer hardware development life cycles and ODM/CM working models
- Familiarity with computing, connectivity, operating systems, software frameworks, software applications, and development life cycles
- Excellent problem solving skills, strategic and development insights, and business acumen
- Excellent influencing and communication skills to advocate for initiatives internally, externally, and with executive management
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.
As a Product Manager, you will drive Machine Learning (ML) hardware and software collaboration between the silicon engineering team, advanced research teams across the company, and the tablet and phone hardware/software groups. You will define a roadmap to bring to life to Machine Learning features that distinguish our tablets with Speech, Imaging, Security, Health, and other experiences.
In this role, you will work cross-functionally to assess and select critical problems to be solved through silicon or software, build multi-year roadmaps that intersect our long-term device strategy, and secure executive support.
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.
Responsibilities
- Define differentiated and compelling Machine Learning silicon and software solutions and roadmap that leverage Google’s Hardware, Software, and Machine Learning capabilities.
- Influence, inspire, and lead a broad team across Architecture, Software, Operations, and Product Management.
- Evaluate new applications, use cases, proofs-of-concept, technologies, and standards, and advocate for/against adoption based on silicon and system-level considerations, market landscape, cost, usefulness and helpfulness, and more.
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Prefetch Google Speech and Language machine learning research for all first-party Google devices powered by Tensor.
- Work with Marketing and Legal for product launches.
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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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