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Voltai

AI world models for chip design & manufacturing

Enterprise Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • Have 3–5+ years of experience in customer-facing program management, product management, or sales.
  • Be comfortable with electrical engineering topics.
  • Be able to context-switch and work cross-functionally.
  • Be able to work in fast-paced, uncertain environments with ambiguous or limited information.

Responsibilities

  • Manage customer requests and collaborate with engineering teams to ensure delivery across multiple products and smooth product onboarding.
  • Drive engineering execution by prioritizing tasks, identifying risks, removing roadblocks, and maintaining clear communication.
  • Work across engineering, sales, procurement, product, and other teams to drive project success.
  • Support customer communication by providing progress updates and presentations, and handling customer meetings as needed.
  • Execute end-to-end customer demos, proof-of-concepts, and presentations spanning tools deployment, software development, stack builds, product delivery, and release management.

Desired Qualifications

  • Experience with PCB work, including design and/or layout.
  • A background in Electrical Engineering or AI.
  • A track record of creatively and independently completing complex enterprise deals.
  • Previous experience in a startup environment or high-growth company.

About the Company

Voltai

AI world models for chip design & manufacturing

Voltai builds AI models and agents that learn, plan, and experiment in the physical world, starting with semiconductor design and manufacturing. Its world models run virtual experiments, then validate results in real fabrication settings to build rich datasets across the hardware stack. What sets Voltai apart is a team of Stanford researchers, former chip-industry CTOs, and policy veterans working with major semiconductor, electronics, and automotive manufacturers. The goal is to speed hardware innovation through AI-driven simulation and validation.

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