Senior Product Manager - Physics AI - $220,000-300,000 base

Saragossa; San Mateo (CA); Hybrid; USD 220,000 - 300,000; Full time

Job summary

Saragossa is seeking a product leader to own customer relationships and shape how industries adopt physics AI. You’ll translate real customer problems into repeatable use cases at scale and work with aerospace, automotive, defence, electronics, and turbo machinery clients to guide simulation workflows and feature roadmaps.

Hybrid work in California, leveraging CAE tools and production ML deployment. You’ll blend deep physics knowledge with AI deployment know-how to ship scalable models and

Qualifications

• Client-facing experience in aerospace, automotive, defence, electronics, or turbo machinery.
• Hands-on knowledge of CAE tools and simulation workflows.
• Production experience shipping ML models and managing the infrastructure around them.

Responsibilities

• Own customer relationships to turn problems into repeatable use cases across industries.
• Drive architecture decisions, prioritisation, and roadmaps based on customer needs.
• Bridge customer pain points with production-ready features and scalable solutions.

Skills

Customer facing

Product leadership

CAe tools

ML deployment

Data pipelines

Production ML

Simulation workflows

Cross-industry experience

Tools

CAE tools

Cloud platforms

Job description

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.

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 Physics (Fluid Dynamics, Structured Mechanical, or Thermal Mechanical), Applied AI, and 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.

$220,000-300,000 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.