CFD Product Manager

Dassault Systèmes
Waltham, MA

 

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
Posted 2026-05-30

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