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Volta

Financed AI data centers and infrastructure

Group Product Manager - Control Plane

Technical Product ManagementConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USAHybrid

About the Job

Requirements

  • Significant product management experience in infrastructure, platform, or developer tools is essential.
  • Experience managing other product managers or leading a product team.
  • Deep understanding of Kubernetes and cloud infrastructure control plane concepts.
  • Strong technical fluency and comfort partnering closely with engineering.
  • A track record of shipping infrastructure products that scale.

Responsibilities

  • Own product strategy and roadmap for Volta's control plane, the Kubernetes-native layer managing compute, storage, and networking lifecycle.
  • Lead and develop a team of product managers focused on control plane capabilities.
  • Work closely with platform engineering to translate customer and operational needs into control plane features.
  • Prioritize the roadmap based on customer impact, operational reliability, and platform scalability.
  • Partner with the bring-up and operations teams to identify and address operational pain points.
  • Define success metrics for control plane capabilities and track outcomes post-launch.
  • Represent control plane priorities in cross-functional and leadership planning.
  • Communicate roadmap and rationale clearly to engineering, leadership, and customers as needed.

About the Company

Volta

Financed AI data centers and infrastructure

Volta builds and runs dedicated AI data centres called AI factories and offers AI compute as a financed utility, so labs and enterprises can access Nvidia-class capacity without paying full upfront. It combines capital, land, hardware, software, and day-to-day operations into a single offering, with customers paying for access under multi-year capacity contracts. Unlike traditional data centres, Volta finances and operates the infrastructure and software management to deliver ready-to-use capacity as a service. Its goal is to democratize access to large-scale AI compute across North America and Europe by creating a financed, utility-style infrastructure layer.

Company size
51-200
Company stage
Debt Financing
Total funding
$5.3B
Headquarters
London, United Kingdom
Founded
2026

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