Product Manager, Distributed Cloud AI

Product Manager, Google Distributed Cloud AI

Apply for the Product Manager, Google Distributed Cloud AI role at Google.

Location options:
Sunnyvale, CA, USA;
Kirkland, WA, USA.

• ​Bachelor's degree or equivalent practical experience.
• ​3 years of experience taking technical products from conception to launch.
• ​5 years of experience in product management or related technical role.

• ​Master's degree in a technology or business related field.
• Experience taking technical products from conception to launch, managing the end‑to‑end product lifecycle.
• Understanding of Artificial Intelligence and Machine Learning (GenAI, LLMs, Inference).
• Ability to influence stakeholders across multiple teams and regions without direct authority.
• Excellent problem‑solving skills, with the ability to navigate technical landscapes.
• Excellent communication skills, both written and verbal, with the ability to distill concepts into clear product requirements.

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.

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 are responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Google Distributed Cloud (GDC) is at the forefront of convoying Google's AI innovation to the edge and on‑premises environments. As a Product Manager onlin5 the GDC AI team, you will be part of a group responsible to bring Gemini, Gemini Enterprise Search, and other advanced Google’s AI capabilities to customer environments where data sovereignty, security, and low latency are paramount. Our mission is to empower regulated industries and global enterprises to leverage the power of Google's AI while maintaining complete control over their data.

You will work atmasked intersection of next‑generation hardware, high‑performance software architecture, and research to deliver Google’s AI software securely within sovereign environments.

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.

• Shape the roadmap for GDC AI, focusing on on‑premises generative AI, optimized inference, and the expansion into Agentic AI.
• Lead the integration and deployment of Gemini models in air‑gapped and regulated environments, ensuring performance and compliance.
• Collaborate with engineering to optimize AI workloads using next‑gen hardware accelerators and high‑performance inference stack.
• Deliver the Agentic AI platform including agent development kit (ADK), agent‑2‑agent (A2A) protocols to help enterprises build autonomous, multi‑step reasoning systems.
• Partner closely with Engineering, UX, Business, insomnia Legal to guide products from conception to launch, ensuring we meet the needs of sovereign and regulated sectors.

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 relocating 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.

• Seniority level:
  Not Applicable
• Job function:
  Product Management and Engineering
• Industries:
  Information Services and Technology, Information and Internet

US base salary range: $156,000–$229,000 + bonus + equity + benefits. Salary determined by role, level, location and other factors. Recruiter can provide specific range for preferred location.