Technical Product Manager (Industrial CT Software)

• Own the roadmap for key capabilities in our industrial CT software, including dimensional analysis, analytical defect detection, and machine learning workflows.
• Translate complex use cases (e.g. bulk material characterization, part-to-CAD comparisons, fiber orientation analysis, complex metrology) into user-centric product specs and UI/UX strategies that unlock new markets.
• Partner with engineering to drive execution—from unpacking the problem space to solution delivery—with a focus on accuracy, repeatability, performance, and usability.
• Work closely with manufacturing customers across industries to understand pain points, gather feedback, and iterate on features that drive real impact.
• Bridge domain expertise (e.g. mechanical, aerospace, medical device engineering) with intuitive software that empowers teams at all levels of technical proficiency.

• Background in product management for software products in a relevant industry such as inspection, industrial, automotive, aerospace, etc.
• Experience with CAD, simulation, scientific, or industrial imaging software such as Volume Graphics, ParaView, Rhino, Geomagics Control X, Zeiss Inspect, Solidworks, etc.
• Analytical fluency. You are comfortable discussing topics like tolerancing, coordinate systems, mesh analysis, or computer vision pipelines.
• Product experience. 3–6 years in product management, ideally with exposure to engineering or analysis software tools.
• Communication pro. You can drive clarity across engineering, design, and commercial teams and advocate for the customer at every step.
• Customer curiosity. You have experience talking directly to technical users, synthesizing feedback, and iterating rapidly.Bias toward building. You thrive in high-autonomy environments and take ownership over delivering exceptional results by tackling complex questions with prototypes.

• Exposure to CT scanning, X-ray imaging, or spatial data visualization.
• Familiarity with 3D graphics pipelines or tools (e.g. point clouds, meshes, voxels).
• Experience building data-heavy analytical products, ideally with ML/AI components.
• Background in mechanical engineering, physics, or applied mathematics.
• Direct experience in more than one of the following industries: CAD / Mechanical Software, Manufacturing, Industrial Inspection, Medical Devices, Automotive, Consumer Packaged Goods, Consumer Electronics, Aero/Defense

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.