Deep knowledge of thermal and structural simulation (FEA/CFD).
5-10 years in Product Management within CAE, EDA, or HPC.
Degree in Mechanical Engineering, Physics, or related field.
Comfortable discussing advanced technical concepts with PhD-level researchers.
Passionate about AI's role in the future of engineering.
Responsibilities
Identify and prioritize impactful use cases for thermal-mechanical solvers.
Manage the product lifecycle from inception to launch.
Define features, UI/UX, and API capabilities for seamless user interaction.
Translate Physics AI Foundation Models into tangible benefits for users.
Collaborate with industry leaders to pilot innovative technologies.
Position product advantages against legacy competitors.
Benefits
Competitive compensation with equity options.
Comprehensive medical, dental, and vision insurance.
401(k) contributions.
Gym membership allowance.
Supportive and intelligent team environment.
Full Job 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.
The Role
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.
Benefits
Competitive compensation with equity of a fast-growing startup.
