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August 6, 2025

Product Manager, Multi-device Data Infrastructure

Senior • On-site

$183,000 - $271,000/yr

San Francisco, CA , +1


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of Technical Product Management experience.
  • Experience creating product roadmaps from conception to launch, driving the product vision, defining go-to-market strategy, and leading design discussions.

Preferred qualifications:

  • Experience with trusted execution environments or differential privacy.
  • Experience navigating complex environments with high levels of ambiguity.
  • Strong technical skills and understanding of systems like mobile device platforms, API development, or infrastructure.
  • Ability to work effectively in a highly collaborative environment with a curious mindset and a desire to learn.
  • Excellent communication, people, and organizational skills.

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 Multi-device Data Infrastructure (MDI) team has a rich history of building on-device systems for managing user data, ML models, and other datasets across Android and other device platforms. Our systems are extensively deployed in Google products and apps across Android, Chrome, and more. We’ve expanded our focus to include data and privacy management needs of emerging AI agentic products. In this role, you’ll partner with engineers and client stakeholders to define a product path that leverages existing on-device systems for search, model management, data synchronization, and scaled data protection, while also developing complementary cloud-based systems to privately access large models, datasets, and TPUs.

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 $183,000-$271,000 + 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

  • Drive a clear product vision for sustaining and evolving MDI’s portfolio of data infrastructure capabilities.
  • Lead the development of privacy-preserving services.
  • Drive the end-to-end product lifecycle for new products and features, test their performance, and iterate quickly.
  • Navigate timelines and high-stakes product launches with a focus on outcome-driven delivery.
  • Collaborate effectively across various product areas.