Product Manager - Switzerland
- Role
- Product
- Experience
- Mid
- Employment
- Full-time
Open to FR, DE, CH only. Set where you work from to check your eligibility.
No BS summary
Product Manager with 3+ years of real engineering experience in a large industrial organization. Must understand engineering workflows, simulation, manufacturing/product development constraints, and have strong product instincts. Hiring remotely from France, Germany, or Switzerland; fluent English required.
Required languages
Optional languages
About the Role
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 your own experience. This is a rare role at the intersection of engineering credibility and product craft — and a unique opportunity to shape how AI transforms one of the most consequential domains in the world.
What you will do
- 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.
Who you are
- 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.
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
What you'll do
- Engage deeply with customers such as OEM engineering teams, simulation specialists, and program managers to understand workflows, frustrations, and unmet needs.
- Translate customer insight, market signals, and technical feasibility into clear product requirements and prioritized roadmap decisions with Engineering and leadership.
- Own product discovery by designing and running user research, synthesizing findings across customer segments, and developing hypotheses for the team to build, test, and iterate on.
- Collaborate with Sales, Application Engineering, and Marketing to ensure product decisions are grounded in customer value and commercial viability.
- Represent the voice of industrial engineers internally to keep 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.
What they require
- 3+ years of real engineering experience inside a large industrial organization.
- Experience working on multi-year programs, navigating complex systems, and working with real-world manufacturing or product development constraints.
- Exposure to a modern environment such as a fast-moving hardware company, next-generation engineering software startup, or tech company embedded in industrial accounts.
- Interest in what AI and software can unlock for engineering teams.
- Genuine product instincts, curiosity about problems different from your own engineering experience, and ability to bring people along without formal authority.
- Precise written and verbal communication.
- Structured reasoning for prioritization decisions.
- Degree in engineering or a related technical discipline.
- Preferred: advanced degree such as MSc or PhD.
- Fluent English.
- Preferred: additional European languages.
- Deep engineering experience at a legacy industrial company or a modern company like Tesla or SpaceX, plus strong product instincts.
Neural Concept builds the Engineering AI platform that helps engineering teams accelerate development, improve product outcomes, and scale engineering capacity.