Staff Product Manager: Physical AI for Data-Centre Design

Coreweaveu; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Living Wage

Family-level Medical Insurance

Family-level Dental Insurance

Generous Pension Contribution

Life Assurance at 4x Salary

Critical Illness Cover

Employee Assistance Programme

Tuition Reimbursement

Job summary

CoreWeave UK Ltd is seeking a Staff Product Manager to own the vision, strategy, and end-to-end delivery for the Physical AI portfolio, with a primary focus on data-centre design and automated layouts from power budgets to rack plans.

You will conduct field discovery with data-centre engineers, translate tacit knowledge into explicit rules, and guide product rollout from sizing to physical layout optimization while collaborating with Engineering and Research teams.

Qualifications

• Significant professional experience in product management, strategy, or technical leadership.
• Ability to navigate ambiguous, technically complex domains and drive adoption.
• Fluency in infrastructure domains to translate tacit knowledge into formal parameters and rules.
• Hands-on familiarity with AI-assisted development tools and coding literacy.

Responsibilities

• Own vision, strategy, and roadmap for Physical AI products.
• Translate field knowledge into explicit parametric rules for design.
• Align cross-functional teams across Engineering, Research, Data Science and operations.

Skills

Product management

Cross-functional leadership

AI tools literacy

Data-centre design

Parametric design

Cloud infrastructure

CAD representations

Education

Engineering background

Data-centre/HPC experience

Tools

CAD

JavaScript visualization

Cloud platforms

Job description

CoreWeave UK Ltd is seeking a Staff Product Manager to own the vision, strategy, and end-to-end delivery for the Physical AI portfolio, with a primary focus on data-centre design and automated layouts from power budgets to rack plans.

You will conduct field discovery with data-centre engineers, translate tacit knowledge into explicit rules, and guide product rollout from sizing to physical layout optimization while collaborating with Engineering and Research teams.