Senior Product Manager
PhysicsX is hiring a Senior Product Manager in London, United Kingdom. Level rates it ; you can apply on PhysicsX.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- PhysicsX mentions visa sponsorship in this posting.
- Tools and skills the posting cites include product management, release engineering and developer tools.
- Level lists 41 other open roles at PhysicsX.
- The role was posted within the past week.
AI in this role
Own the product roadmap for cloud development environments, release engineering, and incubating an agentic software factory.
About us
Re-architecting Engineering for the Age of IntelligencePhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.
The role
You will own the Platform's secure software supply chain: the path from source to running, wherever customers run the Platform. You will own two existing products and incubate a third:
- Cloud Developer Environment (CDE): the toolchain inside each customer's cluster. It lets users build software without becoming software engineers.
- Release engineering: how we ship the Platform to customers. It covers software as a service (SaaS), customer virtual private clouds (VPCs), data centres and export-controlled air-gapped sites.
- Agentic software factory: how PhysicsX builds and ships the Platform itself, with agents working alongside engineers. How technical context and recorded decisions to guide implementation, verification, testing and velocity.
What you will do
- Own discovery, priorities and roadmap for CDE and release engineering, while incubating the agentic software factory.
- Hide the developer toolchain from our users: environments, source control, artifact registries, builds and tests. Nobody should need to know what a container image is.
- Reduce the differences in release effort and timelines between connected and disconnected customer environments.
- Design the install experience with our deployment engineers, including remotely guided installs: clear prerequisites, checks before changes, and proof it worked.
- Define staged releases, canary releases and user acceptance testing (UAT) in the customer's environment before production.
- Make rollback safe and routine at every site.
- Make CDE and release engineering run fully disconnected, with no public-cloud dependencies, at sites no one from PhysicsX can reach.
- Make agents first-class users, with the same interfaces, identity and guardrails as people. They write code in the CDE and manage rollouts in release engineering.
- Use PhysicsX's internal experience to guide improvements to the products we ship to customers.
- Define how to measure the factory's impact on delivery speed and software quality.
What you bring
Where you need to be strongest
- You are deeply technical. You understand continuous delivery, artifact supply chains and SDLC.
- You have product-managed developer platforms or software delivery tooling.
- You have shipped into environments you cannot reach directly: disconnected, regulated or customer-operated.
- You have turned internal tooling into a product other teams rely on.
- You have explored agentic coding or delivery workflows and can assess their limitations in an engineering team.
Foundations
- Experience with enterprise security, compliance and change control.
- Products built for expert users who are not software engineers.
- Experience shaping a new team: scope, priorities and early hires.
- Clear communication that aligns teams.
Nice to have
- Experience with engineering software, or a background in simulation, design or process engineering.
- A software engineering background, or experience building developer tooling.
- Software supply chain security: provenance, signing and vulnerability scanning.
How we rate this
Senior Product Manager at PhysicsX rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where release engineering was part of your work. What did you do?
- Tell me about a project where developer tools was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, Release Engineering, Developer Tools, and Agentic Workflows. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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