About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree or equivalent practical experience
- 5 years of experience in product management or related technical role
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.)
- Experience utilizing AI productivity tools to streamline individual, business, or development workflows
More about this role
- Define and execute the multi-year product roadmap for Google’s ML Training Fleet Efficiency across TPUs, targeting high-leverage bottlenecks and unlocking hundreds of millions in compute capacity.
- Standardize company-wide efficiency metrics (such as Prod System Duty Cycle/PSDC and PADC) and telemetry architectures to deliver actionable visibility across executive and engineering stakeholders.
- Partner with DeepMind and Core ML to optimize complex distributed training workloads, specifically targeting Reinforcement Learning, data ingestion pipelines, and check-pointing efficiency.
- Drive the productization of "AI for AI" diagnostic platforms (e.g., agentic root-cause analysis and trace telemetry) to automate detractor resolution at fleet scale.
- Lead resource governance and quota frameworks across Search, Ads, Cloud, and GDM, fostering high-trust executive partnerships that maximize accelerator utilization without compromising research velocity.
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to...
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