Neuralconcept
Product Manager
1mo ago
EuropeRemote
Product Manager role focused on transforming engineering workflows in industrial organizations using AI and software.
Responsibilities
- Neural Concept is at the intersection of 3D deep learning and industrial engineering, building the tools that help the world's leading manufacturers design better products, faster. We're looking for a Product Manager who has lived the reality of engineering workflows inside large industrial organizations — and who is equally excited about where the industry is going. You understand what it feels like to wait on a simulation, to navigate a multi-year vehicle program, and to work within the constraints of a legacy toolchain. And you've seen — or been part of — what's possible when engineering meets modern AI and software. A formal "PM" title is not required; what matters is proven product thinking, sharp communication, and the humility to deeply understand problems that are different from yo
- Engage deeply with customers — OEM engineering teams, simulation specialists, and program managers — to understand their day-to-day workflows, frustrations, and unmet needs, bringing genuine curiosity and listening skills to every interaction.
- Translate customer insight, market signals, and technical feasibility into clear product requirements and prioritized roadmap decisions, in close collaboration with Engineering and the leadership team.
- Own the product discovery process: design and run user research, synthesize findings across customer segments, and develop hypotheses that the team can build, test, and iterate on.
- Collaborate cross-functionally with Sales, Application Engineering, and Marketing to ensure product decisions are grounded in real customer value and commercial viability.
- Represent the voice of industrial engineers internally — keeping the product technically credible, practically useful, and commercially sharp.
- Track trends in engineering software, advanced simulation, and AI tooling to identify whitespace, emerging use cases, and competitive positioning opportunities.
Requirements
- You have 3+ years of real engineering experience inside a large industrial organization — you know what it feels like to work on multi-year programs, navigate complex systems, and live with the constraints of real-world manufacturing or product development.
- You've also been exposed to a more modern environment — whether at a fast-moving hardware company, a next-gen engineering software startup, or a tech company embedded in industrial accounts — and you're energized by what AI and software can unlock for engineering teams.
- You bring genuine product instincts: you listen more than you talk, you're curious about problems that are different from your own engineering experience, and you know how to bring people along without having formal authority.
- You communicate with precision — in writing and in conversation — and you make prioritization decisions with structure and clear reasoning.
- You hold a degree in engineering or a related technical discipline; an advanced degree (MSc, PhD) is a plus.
- You are fluent in English; additional European languages are a plus.
- We know this combination of skills is rare. If you have one deep engineering experience — whether at a legacy industrial company or a modern company like Tesla or SpaceX — and strong product instincts, we want to hear from you.