Group Product Manager, Machine Learning Frameworks, Google Cloud - Google

Mountain View, CA

About the Job

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 Francisco, CA, USA.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience in product management, consulting, co-founder or related technical role.
5 years of experience building and shipping technical products.

Preferred qualifications:

Experience with AI/ML model or tooling development (e.g. Product Management or Engineering).
Experience in AI/ML development in a direct engineering role.
Experience building developer tools (e.g. ML development).
Experience with generative AI models.
Experience with influencing large-scale, cross-functional decisions involving participating stakeholders.

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.

The Core ML team builds the tooling, service, and technical foundations to enable the machine learning research and production behind Google’s flagship products and AI/ML OSS offerings. We are owners and advocates for the underlying design elements, developer platforms, components, and infrastructure at Google. These are the essential building blocks to drive the pace of innovation for ML developers. We look across Google’s products to build central solutions, break down technical barriers, and strengthen existing systems.

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 $214,000-$305,000 + 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

Understand the workflows of internal and external machine learning experts from research and product development teams.
Engage with all Google product areas (e.g., Google Deepmind, Ads, Search, YouTube, GCP, etc.) to understand their needs and build platform features to enable use cases.
Drive strategy and roadmap development for machine learning stack tooling. Provide thought leadership on ML ecosystem strategy.
Lead teams through defining, identifying, collecting, and tracking appropriate product or business metrics.
Communicate with and influence executive leadership, engineering, and cross-functional teams to gain consensus and required resources to deliver.

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