CFD Product Manager
ROLE DESCRIPTION & RESPONSIBILITIES
We are seeking a technically oriented CFD Product Manager to contribute to the evolution of simulation products at the intersection of Computational Fluid Dynamics (CFD) and AI/ML. This role will support the development of next-generation capabilities that enhance engineering workflows through data-driven modeling, automation, and improved simulation efficiency.
You will work within a cross-functional environment alongside engineering, research, and product teams to help deliver solutions that enable faster insight, more scalable analysis, and improved decision-making for customers in industries such as aerospace, automotive, and industrial equipment.
Advances in AI and machine learning are increasingly shaping the future of simulation-driven design. This role contributes to integrating these technologies into established CFD workflows in a practical and scalable way. You will be part of a broader effort to enhance simulation capabilities and deliver meaningful improvements to engineering productivity, while building experience across product management, simulation technology, and applied AI.
Support Development of the Vision & Strategy
- Support the development and refinement of product direction for AI/ML-enabled CFD solutions
- Identify and evaluate relevant use cases across aerodynamics, propulsion, thermal systems, and industrial flows
- Contribute to market and technology analysis related to simulation and machine learning
Execute the Roadmap
- Translate product strategy into well-defined requirements, user stories, and prioritized features
- Collaborate with development teams to deliver capabilities across simulation platforms, ML pipelines, and intelligent agents for workflow automation
- Balance enhancements to core simulation technologies (solvers, meshing, HPC/cloud) with AI/ML innovation (AI copilots, design agents)
Support Agentic AI Innovation for Fluids
- Work with technical teams to develop AI agents that can autonomously set up, run, analyze, and optimize CFD simulations
- Contribute to defining workflows where LLMs + physics models collaborate to accelerate engineering decisions
Deliver Surrogate Modeling at Scale
- Champion reduced-order models and ML-based surrogates to enable near real-time predictions
- Ensure seamless integration between high-fidelity CFD and fast, deployable ML models
- Document and communicate requirements
Partner Across Disciplines
- Partner with CFD engineers, data scientists, and software teams to ensure alignment on requirements and prioritiesEngage with internal stakeholders and customers to gather feedback and validate product direction
- Bridge deep technical domains with user-centric product thinking
Demonstrate Value
- Test functionality as it’s developed
- Build compelling demos and use cases showing measurable gains (speed, cost, performance)
- Tell a clear story: from days/weeks of simulation seconds/minutes of insight
Qualifications
- Master’s Degree (2-5 years experience) or PhD degree (0-2 years experience) in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field
- Experience in product management, engineering, or a related technical role
- Strong background in CFD (industry experience or advanced degree)
- Experience with Navier-Stokes algorithms, RANS turbulence models, and body fitted meshing
- Experience in CFD Verification and Validation processes
- Understanding of CFD user landscape, ranging from designers to analysts
- Solid understanding of machine learning / AI, especially:
- Surrogate modeling, reduced-order modeling
- Optimization, design space exploration
- Familiarity with LLMs and emerging agentic frameworks is a big plus
- Ability to translate complex technical concepts into clear product direction
- Strong collaboration and communication skills in cross-functional environments
- Curiosity, creativity, and a bias toward action
Preferred skills / experience
- Experience applying AI/ML to physics-based simulations
- Exposure to industries like automotive, aerospace, or heavy equipment
- Familiarity with cloud/HPC simulation environments
- Passion for building tools engineers actually love to use