Senior Product Manager, AI Models and Agentic Platform, Google Distributed Cloud
Senior Product Manager at Google owning the strategy and end-to-end model-serving lifecycle for Gemini AI models on Google Distributed Cloud, across connected and air-gapped environments. Day to day: defining the multi-quarter roadmap, aligning AI research and platform teams, optimizing inference performance, and shipping developer APIs and tooling.
- Compensation
- $192K–$278K / yr
- Location
- Kirkland, WA, USA; Sunnyvale, CA, USA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Product
- Posted
Skills
Must have
- Bachelor's degree or equivalent practical experience
- 8 years of experience in product management or related technical role
- 3 years of experience taking technical products from conception to launch (0 to 1, end-to-end)
- Experience integrating generative AI tools or LLM interfaces into workflows
Nice to have
- Master's degree in a technology or business related field
- Experience with LLM serving architectures, inference optimization frameworks (vLLM, SGLang, TensorRT-LLM), and hardware accelerators (GPUs, TPUs)
- Experience building or managing products for hybrid cloud, sovereign cloud, air-gapped data centers, or compliance-restricted industries (public sector, defense, financial services)
- Understanding of model evaluation methodologies, safety and governance frameworks, and hardware/software performance profiling
- Excellent executive presence and customer-facing communication skills; ability to navigate ambiguous cross-functional landscapes
Full description
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.
Google Distributed Cloud extends Google Cloud’s infrastructure, services, and advanced AI capabilities directly into customer-operated data centers, edge locations, and sovereign, highly regulated environments.
As the Senior Product Manager for Gemini on Google Distributed Cloud, you will be the lead product owner responsible for the end-to-end model serving life-cycle, platform runtime, and roadmap execution for Gemini foundation models across both connected and air-gapped (fully disconnected) environments.
In this role, you will define the multi-quarter strategy to bring Google’s frontier models to on-premises hardware architectures and accelerator platforms. You will collaborate closely with AI research, foundation model development, and cloud platform teams across Google, as well as strategic enterprise customers and sovereign government institutions, ensuring that local AI deployments deliver cloud-grade fidelity, uncompromising safety, and enterprise reliability.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- Own the product strategy and delivery schedule for Gemini models on Google Distributed Cloud across both connected and air-gapped environments, ensuring predictable release cadences and capability between public cloud and on-premises deployments.
- Partner with systems and runtime engineering teams to optimize critical inference metrics, such as Time to First Token, Time Per Output Token, and aggregate throughput, while integrating advanced capabilities into the local serving stack.