Lead Product Manager - Physics-AI & Thermal-Mechanical Systems
Indexed description
Requirements
- The Domain Expert: You have a deep understanding of thermal and structural simulation (FEA/CFD). You know the limitations of the current status quo and are frustrated by how slow traditional tools are.
- The Strategist: You have 5-10 years of experience in Product Management, ideally in CAE, EDA, or high-performance computing (HPC).
- Technically Fearless: You hold a degree in Mechanical Engineering, Physics, or a related field. You are comfortable discussing GPU architectures, solver convergence, and neural network latencies with PhD-level researchers.
- Future-Oriented: You believe that the future of engineering is AI-accelerated and are eager to build the platform that makes that a reality.
- Market Discovery: Identify and prioritize high-impact use cases for our thermal-mechanical solvers. You will look beyond 3D-ICs to thermal management in data centers, electric drivetrains, and satellite systems.
- Product Roadmap: Own the product lifecycle from inception to launch. You will define the features, UI/UX requirements, and API capabilities that allow engineers to harness the world’s fastest solver seamlessly.
- AI Product Strategy: Define how our Physics AI Foundation Models translate into tangible value for end-users. How does an engineer interact with a “neural” simulation? You will answer that question.
- Strategic Partnerships: Collaborate with industry leaders to pilot new technologies, ensuring our product solves real-world pain points like package warpage, thermal-mechanical fatigue, and high-flux cooling.
- Competitive Moat: Position Flexcompute against legacy incumbents by highlighting our advantage in speed, accuracy and scale, and our unique ability to scale first-principles physics into AI.
- Competitive compensation with equity of a fast-growing startup.
- Medical, dental, and vision health insurance.
- 401(k) Contribution.
- Gym allowance.
- Friendly, thoughtful, and intelligent coworkers.
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