Platform Product Manager
Shoreditch, London
PhysicsX
We improve the design, manufacturing and operation of complex products and machines using artificial intelligence.
Introduction PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
The RoleWe are looking for a passionate technical product manager to join us in building an AI platform that empowers machine learning engineers and data scientists to create, train, and deploy physics-informed models at PhysicsX. You’ll take ownership of gathering requirements, shaping the product roadmap, and working closely with engineering to improve the end-to-end developer experience. You should be comfortable diving into technical details and passionate about creating tools that make complex workflows feel seamless.
The RoleWe are looking for a passionate technical product manager to join us in building an AI platform that empowers machine learning engineers and data scientists to create, train, and deploy physics-informed models at PhysicsX. You’ll take ownership of gathering requirements, shaping the product roadmap, and working closely with engineering to improve the end-to-end developer experience. You should be comfortable diving into technical details and passionate about creating tools that make complex workflows feel seamless.
What you will do
- Work closely with Product leaders to translate high-level product vision into actionable initiatives and a clear, aligned roadmap
- Help make our platform easier for developers to use, with less support — and lead the way in shaping that experience
- Balance long-term strategy with the immediate needs of our customer-facing engineering teams
- Act as the team’s source of clarity, ensuring everyone understands the what, why, and when behind each initiative
- Champion execution velocity by proactively removing blockers, accelerating feedback loops, and driving forward momentum
- Communicate clearly and transparently with all stakeholders to maintain alignment and build trust across the organization
What you will bring to the table
- A sharp product sense, with the ability to translate complex technical requirements into intuitive, user-friendly solutions
- Experience building products for developer users, ideally machine learning engineers, data scientists, or applied researchers
- A deep understanding of the workflows and pain points of ML teams — from experimentation and model development to deployment and monitoring
- A structured, strategic mindset — you excel at navigating ambiguity, driving alignment, and delivering value quickly without losing sight of long-term goals
- A bias toward action, with a track record of driving momentum, resolving blockers, and iterating quickly in fast-paced environments
What we offer
- Equity options – share in our success and growth.
- 10% employer pension contribution – invest in your future.
- Free office lunches – great food to fuel your workdays.
- Flexible working – balance your work and life in a way that works for you.
- Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility.
- Enhanced parental leave – support for life’s biggest milestones.
- Private healthcare – comprehensive coverage
- Personal development – access learning and training to help you grow.
- Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Leadership Jobs
Product Jobs
Tags: Engineering Excel Machine Learning ML models Physics
Perks/benefits: Career development Equity / stock options Flex hours Parental leave Startup environment
Region:
Europe
Country:
United Kingdom
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