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 priorities
• Engage 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