G
AI

Group Product Manager Data Services Indexing

Google · Sunnyvale, CA, US · $227k - $320k

Actively hiring Posted 24 days ago

Role overview

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 be working on AI infrastructure, data, and services required to build AI applications and Agents. You will be responsible for shaping the AI data infrastructure, defining foundational data services required to build AI applications, driving the next-generation of indexing, and enabling end-to-end journeys to accelerate developer velocity. You will collaborate with the clients and cross-functional partners across Google.

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.

What you'll work on

  • Gain an in-depth understanding of the data needs of AI training, AI applications, and Information Retrieval.
  • Define short-term product strategy with a long-term goal, firmly grounded in client needs and technology trends, while anticipating future trends.
  • Understand emerging technologies such as AI Agents, multimodal data processing, etc., and their impact on clients.
  • Define the infrastructure roadmap to accelerate developer velocity and spur innovation across Google.
  • Collaborate across the PM organization to help deliver end-to-end, horizontal customer journeys.

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.

What we're looking for

  • Master's degree in a Technology or Business related field.
  • 8 years of experience taking data products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • 3 years of experience in software development or engineering.
  • Experience developing internet products and technologies.

Tags & focus areas

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