Product Manager – Vertical Solutions

Neural Concept

Product Manager overseeing AI-driven workflows for engineering solutions in a cross-functional team. Driving product strategy from discovery to delivery in a hybrid working environment.

Posted 7/22/2026full-timeLausanne • 🇨🇭 SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management, particularly in AI-based development and prototyping, with a strong focus on customer discovery and cross-functional collaboration. Proficient in engineering software and end-to-end design processes, ensuring alignment with company strategy and delivering impactful solutions.

Highest-signal resume keywords

Product Management ExperienceAI-Based Development ToolsEngineering Software (CAD/CAE/PLM)Customer Discovery and EmpathyCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap OwnershipRequirements DefinitionPrototyping (Scripting)AI Coding Tools (Claude Code, Cursor, Copilot)Python ScriptingEnd-to-End Engineering Design ProcessesImpact-First Problem Solving

Soft Skills

Clear CommunicationCustomer InterviewingStakeholder AlignmentPragmatic Decision Making

Tools & Technologies

SolidWorksNXANSYS MechanicalAbaqusTeamcenter

Industry Keywords

Consumer ElectronicsAutomotiveTurbomachineryAerospaceSemiconductor Manufacturing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.