You'll own customer relationships that shape how several industries adopt physics AI.

This is the only company with a true end-to-end physics AI platform, and you're joining as the product leader who turns real customer problems into repeatable use cases at scale. You'll work directly with aerospace, automotive, defence, electronics, and turbo machinery clients to understand their simulation workflows, then drive those insights straight into architecture decisions, prioritisation, and roadmaps.

You're not writing requirements in a vacuum. You'll influence how the platform gets built, working alongside engineers pushing innovation at every layer. This is deep tech. Native agentic capabilities, public cloud offering, out-of-the-box observability, and the best solver in the industry.

You'll bridge the gap between customer pain points and production-ready features. That means understanding CAE workflows (CFD, FEA, or other physics-based simulation) deeply enough to know what matters, and understanding AI/ML deployment well enough to ship models that actually work. You've done this before, managing data pipelines, model training, and validation in production environments.

You need specific client-facing experience in aerospace, automotive, defence, electronics, or turbo machinery. You need hands-on knowledge of CAE tools and simulation workflows. You need real production experience shipping ML models and managing the infrastructure around them.

Hybrid working. You'll be in front of customers regularly, but you'll have flexibility when you need it.

$250,000-300,000 base.

This is the role where your technical depth finally meets real product ownership. You'll see your decisions deployed at scale across industries that can't afford to get physics wrong.

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