Senior Product Manager, AI Models and Agentic Platform, Google Distributed Cloud

Google•Kirkland, WA

9d•$192,000 - $278,000

About The Position

As the Senior Product Manager for Gemini on Google Distributed Cloud, you will lead product ownership for the end-to-end model serving life cycle, platform runtime, and roadmap execution for Gemini foundation models across connected and air-gapped environments. You will define a multi-quarter strategy for bringing Google’s frontier models to on-premises hardware architectures and accelerator platforms. The role involves collaborating with AI research, foundation model development, and cloud platform teams, as well as strategic enterprise customers and sovereign government institutions, to ensure local AI deployments provide cloud-grade fidelity, safety, and enterprise reliability. You will guide products from conception to launch by connecting technical and business priorities and breaking complex problems into steps that drive product development. Google Distributed Cloud extends Google Cloud infrastructure, services, and AI capabilities into customer-operated data centers, edge locations, and sovereign, highly regulated environments.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in product management or a related technical role.
3 years of experience taking technical products from conception to launch, such as ideation to execution or end-to-end 0-to-1 product development.
Experience integrating generative AI tools or LLM interfaces into workflows.

Nice To Haves

Master's degree in a technology- or business-related field.
Experience with Large Language Model serving architectures, inference optimization frameworks such as vLLM, SGLang, or TensorRT-LLM, and hardware accelerators such as GPUs or TPUs.
Experience building or managing products for hybrid cloud, sovereign cloud, air-gapped data centers, or compliance-restricted industries such as public sector, defense, or financial services.
Understanding of model evaluation methodologies, safety and governance frameworks, and hardware/software performance profiling.
Excellent executive presence and customer-facing communication skills, with the ability to navigate ambiguous cross-functional landscapes and align complex technical priorities.

Responsibilities

Own the product strategy and delivery schedule for Gemini models on Google Distributed Cloud across 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 inference metrics, including Time to First Token, Time Per Output Token, and aggregate throughput, while integrating advanced capabilities into the local serving stack.
Serve as the primary product interface to AI research, model development, and safety teams across Google; establish shared release criteria, define model life-cycle and support policies, and oversee integration of on-premises safety mechanisms, including intellectual property protections and model guardrails.
Define and streamline end-to-end experiences for developers and system operators, spanning developer APIs, software development kits, command-line tooling, identity and access management, local telemetry, and hardware capacity planning.