CFD Product Manager

Location is flexible 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 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

• Translate product strategy into well‑defined requirements, user stories, and prioritised 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 copilot, design agents)

• Work with technical teams to develop AI agents that can autonomously set up, run, analyse, and optimise CFD simulations
• Contribute to defining workflows where LLMs + physics models collaborate to accelerate engineering decisions

• 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 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

• Test functionality as it is developed
• Build compelling demos and use cases showing measurable gains (speed, cost, performance)
• Tell a clear story: from days/weeks of simulation to seconds/minutes of insight

• 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 modelling, reduced‑order modelling
  • Optimisation, 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

• 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

In order to provide…