Senior Product Manager, AI Models and Agentic Platform, Google Distributed Cloud
Kirkland, WA, USA +1 · Manager · Full-time · Posted Oct 15, 2026
- Location
- Kirkland, WA, USA
Sunnyvale, CA, USA - Experience
- 8 years in product management or a related technical role; 3 years taking technical products from conception to launch.
- Education
- Bachelor's degree or equivalent practical experience; preferred: Master's degree in a technology or business related field.
About the job
Owns the strategy and delivery of Gemini model serving and runtime on Google Distributed Cloud, including connected and air-gapped deployments.
What you'll do
- Set product strategy, release schedules, and lifecycle policies for Gemini models on Google Distributed Cloud.
- Partner with engineering teams to improve inference performance and integrate serving capabilities, safety mechanisms, and model guardrails.
- Define developer and operator experiences, including APIs, SDKs, command-line tools, identity and access management, telemetry, and hardware capacity planning.
What they ask for
- 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.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Nice to have
- Experience with LLM serving architectures, inference optimization frameworks, and hardware accelerators.
- Experience with hybrid cloud, sovereign cloud, air-gapped data centers, or compliance-restricted industries.
Pay
$192000 - $278000 (USD) base salary
Tools
Gemini, Google Distributed Cloud, vLLM, SGLang, TensorRT-LLM, GPUs, TPUs
AI focus
Product strategy and end-to-end lifecycle management for serving Gemini foundation models in on-premises, connected, and air-gapped environments, including inference optimization and safety.
Model-written summary · the original posting is authoritative