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Group Product Manager, ML Storage

GoogleSunnyvale, CA, USA; New York, NY, USA
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, 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 in people management, with technical leadership.
  • 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • Experience working with data architecture, data warehousing, data lakes, and data pipelines.
  • Experience launching and scaling data products or platforms.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 10 years of experience as a product manager in the data or AI/ML domain.
  • 5 years of experience in software development or engineering.
  • 5 years of experience managing a team of product managers.
  • Experience leading strategy and translating business needs into technical requirements.
  • Deep understanding of AI/ML concepts, including machine learning algorithms, model training, and deployment.

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 product leadership for ML Storage, focusing on new capabilities that power training data curation, experimentation, and model analysis across Google. This requires defining the vision, strategy, and core product requirements across these areas.

We are seeking a passionate and experienced Product Manager leader to join our growing team and play a pivotal role in shaping the future of data platforms, enabling data engineers, data analysts, and ML researchers across the company to build products that delight users and differentiate Google. This is a unique opportunity to not only influence the data landscape within our organization but also to build and lead a high-performing team of product managers from the ground up.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

  • Define and deliver a compelling product vision and roadmap for data platforms that empower AI/ML innovation.
  • Lead the discovery and development of new data products and features that address the evolving needs of data scientists, machine learning engineers, and researchers.
  • Collaborate closely with engineering, data science, and research teams to translate business needs into technical requirements and prioritize initiatives.
  • Conduct market research and competitive analysis to identify emerging trends and opportunities in the data and AI/ML space.
  • Build, mentor, and lead a high-performing team of product managers, fostering a culture of innovation, collaboration, and ownership.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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