Product Manager II, ML Fleet Training
Sunnyvale, CA, USA · Manager · Full-time · Posted Oct 27, 2026
- Experience
- 5 years in product management or a related technical role; 2 years taking technical products from conception to launch. Preferred: 5 years managing ML infrastructure, AI accelerator platforms, or HPC clusters; 3 years developing or deploying AI systems, managing ML infrastructure, or evaluating and optimizing AI models.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads product strategy and cross-functional initiatives to improve utilization, efficiency, and governance across Google’s global ML training accelerator fleet.
What you'll do
- Set the multi-year fleet-efficiency roadmap and standardize efficiency metrics and telemetry.
- Partner with DeepMind and Core ML to optimize distributed training workloads, including reinforcement learning, data ingestion, and checkpointing.
- Develop AI diagnostic platforms and resource-governance frameworks to improve accelerator utilization.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or a related technical role.
- 2 years of experience taking technical products from conception to launch.
- Experience using AI productivity tools to streamline individual, business, or development workflows.
Nice to have
- Master’s degree or PhD in Computer Science or Computer Engineering, or an MBA with a technical undergraduate degree.
- Experience with ML infrastructure or accelerator platforms, AI systems, training frameworks, distributed tracing, data ingestion, or company-wide metrics and governance.
Pay
$163000 - $236000 (USD) base salary
Tools
TPUs, GPUs, HPC, JAX, PyTorch, Ray
AI focus
Improves ML training fleet efficiency and distributed training; productizes AI diagnostic tools, including agentic root-cause analysis, to automate fleet-scale issue resolution.
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