Senior Product Manager - Physics AI - $250,000-300,000 base

Saragossa; San Mateo (CA); Vor Ort; USD 250.000 - 300.000; Vollzeit

Zusammenfassung

Saragossa is hiring a Product Leader to drive the adoption of its physics AI platform across aerospace, automotive, and other industries. In this hybrid role, you will manage customer relationships and translate their needs into actionable product features, collaborating closely with engineers on architecture decisions.

The ideal candidate must have hands-on experience with CAE tools and workflows, as well as a proven background in deploying ML models in production. A salary range of $250,000 to $300,000 is offered.

Qualifikationen

• Experience in managing data pipelines and model training in production environments.
• Hands-on knowledge of CAE workflows such as CFD and FEA.
• Proven track record in shipping ML models.

Aufgaben

• Own customer relationships to shape the adoption of physics AI.
• Transition customer pain points into production-ready features.
• Influence platform architecture along with engineering teams.

Kenntnisse

Client-facing experience

Knowledge of CAE tools

Machine learning deployment

Understanding of aerospace and automotive industries

Tools

CAE software

Simulation tools

Jobbeschreibung

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.