Location: Lausanne; Cambridge Employment Type: Full time Location Type: Hybrid Department: Vertical Solutions
Neural Concept's Vertical Solutions team turns the most common engineering use cases into streamlined, production-grade workflows powered by leading AI technologies.
As Product Manager or Solution Owner, you will own the product lifecycle for one of our vertical solutions end to end: from discovering customer needs to shipping AI-powered workflows that combine design, simulation, and data science/ML. You'll partner with industry-leading customers to translate real-world engineering problems into a product roadmap, and you'll work hands-on with AI-assisted development tools to move from concept to working prototype fast.
This is a pivotal, cross-functional role: you'll work across product, engineering, and customer-facing teams to make sure what you build actually gets adopted and delivers value.
Own the product roadmap for your vertical solution, from discovery through delivery and iteration.
Run customer discovery: lead interviews, validate problem-solution fit, and turn insights into a clear product strategy and backlog.
Define and prioritize requirements, write specs, and make the roadmap tradeoffs that keep the team focused on impact.
Use AI-based development tools and hands-on prototyping (including scripting) to de-risk ideas quickly and get working solutions in front of customers sooner.
Lead and collaborate closely with a cross-functional team of engineers (CAD/CAE/ML) to take solutions from prototype to production-ready.
Track adoption and value delivery across customer projects in your vertical, and feed those insights back into the global product roadmap.
Align vertical initiatives with overall company strategy.
Proven product management experience: you've owned a product or product area end to end, from discovery to launch to iteration, ideally in an enterprise or technical B2B context.
Hands-on with AI-based development: comfortable using AI coding/prototyping tools (e.g., Claude Code, Cursor, Copilot, or similar) and scripting (Python) to build and test ideas yourself rather than only writing specs for others.
Background or exposure to consumer electronics, automotive, turbomachinery, aerospace, semiconductor manufacturing
Familiarity with engineering software used in CAD/CAE/PLM workflows (e.g., SolidWorks, NX, ANSYS Mechanical, Abaqus, Teamcenter, or similar).
Exposure to end-to-end engineering design processes: requirements, concept, modeling and simulation, validation, release.
Strong discovery and customer empathy skills: you can run a great customer interview, synthesize signal from noise, and translate it into a coherent product narrative.
Pragmatic, impact-first problem solver: comfortable making tradeoffs, willing to challenge assumptions, and focused on outcomes over process.
Comfortable operating cross-functionally with engineering, data science, and customer-facing teams, and able to influence without direct authority.
Clear written and verbal communicator, able to align stakeholders across technical and business audiences.
Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
Benefit from a competitive salary and rewarding opportunities as we continue to scale.
Thrive in a collaborative, multicultural environment where your work is visible and recognized.
Develop professionally alongside talented colleagues who share knowledge freely and support one another.
Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
Balance life and work with a hybrid model (40% remote) and flexible hours—we care about results, not rigid schedules.
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.Skills Required
- Proven product management experience owning a product end to end, ideally in enterprise or technical B2B contexts.
- Hands-on with AI-based development tools and prototyping (Claude Code, Cursor, Copilot or similar) and able to script in Python.
- Background or exposure to consumer electronics, automotive, turbomachinery, aerospace, or semiconductor manufacturing.
- Familiarity with CAD/CAE/PLM software (SolidWorks, NX, ANSYS Mechanical, Abaqus, Teamcenter or similar).
- Exposure to end-to-end engineering design processes: requirements, concept, modeling and simulation, validation, and release.
- Strong customer discovery and empathy skills; able to run interviews and synthesize insights into product strategy.
- Able to operate cross-functionally with engineering, data science, and customer-facing teams and influence without direct authority.
- Clear written and verbal communication across technical and business audiences.
What We Do
Neural Concept is revolutionizing engineering with AI. We provide a leading end-to-end platform that places AI at the center of the product development process, helping engineers design faster, smarter, and better. Our Engineering Intelligence platform empowers teams to build and deploy AI-driven workflows that drastically shorten development cycles, boost design quality, and increase competitiveness — all while embedding the team’s know-how into the tools they use every day. Spun out from EPFL in 2018, Neural Concept works with over 70% of the world’s largest OEMs and 40 of the top 100 Tier-1 suppliers. Neural Concept is backed by Forestay Capital and the D.E. Shaw group.






