Staff Product Manager, Applied Physical AI

Responsibilities

We are representing a confidential cloud infrastructure organization seeking a Staff Product Manager for their Applied Physical AI team in London. In this role, you will own the vision, strategy, roadmap, and end-to-end delivery for products that apply machine learning to solve complex physics and engineering challenges.

Your primary focus will be transforming data-centre design processes—replacing manual, spreadsheet-driven workflows with dependable internal products that convert power budgets into rack-and-pod layouts, cabling, and physical floor plans. You will conduct field discovery with data-centre engineers, translate tacit domain expertise into explicit parametric rules, and sequence product rollout from logical sizing to physical layout optimization.

Additionally, you will:

• Utilize AI-assisted prototyping tools directly to accelerate product development
• Validate product accuracy against completed site data and real-world deployments
• Align cross-functional stakeholders across Engineering, Research, and operational teams
• Evaluate future expansion opportunities across the Physical AI ecosystem
• Drive complex technologies from initial concept through broad adoption
• Measure product outcomes, time savings, and capital expenditure impact against real-world metrics

What We're Looking For

Required qualifications:

• Significant professional experience in product management, product strategy, technical programme leadership, or related roles
• Proven track record driving complex technologies from concept through adoption
• Demonstrated ability to navigate ambiguous, technically complex domains while owning end-to-end problem definition, business case formulation, prototyping, and user adoption
• Technical fluency across infrastructure domains (e.g., networking, power, systems engineering)
• Ability to translate tacit expert knowledge into formal parameters, constraints, and generative logic
• Hands-on familiarity with AI-assisted development tools
• Coding literacy sufficient to read, shape, and test prototype outputs
• Strong cross-functional leadership skills with experience aligning Product, Engineering, Research, Data Science, and operational teams
• Deep user empathy and data-driven approach to measuring product success

Preferred qualifications:

• Academic or professional background in engineering, physical research, data-centre design, networking, High-Performance Computing (HPC), or related industrial fields
• Experience with parametric design, optimization algorithms, operations research, placement/routing logic, or combinatorial search
• Familiarity with cloud infrastructure platforms, 2D/3D CAD representations, or frontend/JavaScript visualization frameworks

You'll thrive in this role if you:

• Love to build clarity out of complexity and champion high-impact technical products
• Are curious about how AI, automation, and rules-driven design can transform real-world infrastructure and engineering workflows
• Excel at connecting deeply technical domain experts, product and engineering teams, operational users, and business priorities

How We Work with You

Our talent team at Get A Job.ai will guide you through the entire process. When you apply through our platform at getajob.ai, a dedicated recruiter will screen your application and discuss the opportunity in detail with you. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication should flow through Get A Job.ai to ensure the best candidate experience and professional representation.

Pay

Compensation details will be discussed during the screening process with our recruiting team. Our client offers a competitive package including base salary, discretionary bonus, equity awards, and comprehensive benefits.

Get A Job.ai is an equal opportunity employer. We are committed to fostering an inclusive workplace and encourage applications from candidates of all backgrounds. All qualified applicants will receive consideration without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or any other protected characteristic.