Product Manager II, Machine Learning, Google Cloud - Google

Kirkland, WA

About the Job

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
4 years of experience in product management, consulting, co-founder or related technical role.
2 years of experience building and shipping technical products.
Experience in hardware and data center Infrastructure.

Preferred qualifications:

Master's degree in Technology, or a business related field.
Experience in Machine Learning (ML) infrastructure.
Experience in developing, launching complex hardware products/technologies.
Ability to influence and align multiple stakeholders without direct authority.

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.

In this role, you will drive the product roadmap and execution for Google Cloud Tensor Processing Unit (TPU), Machine Learning (ML) infrastructure, while working closely with key Google Cloud customers to enable their critical ML capabilities and features. You will be responsible for providing product goal as well as driving customer strategy around Google’s custom Cloud TPU ML infrastructure.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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 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

Work closely with external customers to prioritize feature requests and build a unified roadmap for the ML infrastructure for Google.
Work cross-functionally to assess and select the most critical problems to be solved with our ML infrastructure, build multi-year roadmaps that intersect our long-term data center and infrastructure strategies, and secure executive support.
Drive product roadmap and strategy in collaboration with hardware, software, and advanced research teams to deliver differentiated solutions.
Ensure that the strategy supports Google’s overall ML strategy, tools, and priorities.

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.

Source : Google