The pathway
How you actually get there, here
How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.
- 1
Associate Product Development Specialist (L1)
2-3 yearsSkills to master
- Mastering specific technical tasks, understanding our Stage-Gate process, effective documentation, and basic problem-solving for defined issues. It's all about reliable execution under guidance.
You're ready to move on when
- Consistently delivering assigned tasks on time and to specification.
- Proactively identifying minor issues and suggesting initial solutions.
- Demonstrating strong foundational technical skills in CAD, testing, and analysis.
- Receiving positive feedback on your ability to learn quickly and integrate into the team.
- 2
Graduate Engineer (Various Disciplines)
2-4 yearsSkills to master
- Applying theoretical engineering knowledge to practical product challenges, gaining hands-on experience with prototyping and testing, and developing a commercial awareness of product viability. You're learning how to build things that sell.
You're ready to move on when
- Successful completion of multiple engineering projects, from design to validation.
- Ability to work independently on complex technical problems.
- Good understanding of manufacturing processes and design for manufacturability.
- Strong communication skills for technical reporting and cross-functional collaboration.
- 3
Technical Specialist (e.g., Materials Scientist, Test Engineer)
3-5 yearsSkills to master
- Deepening expertise in a specific technical domain (e.g., advanced materials, sensor technology, embedded systems), understanding how that specialism contributes to overall product development, and translating complex technical findings into actionable insights for product teams.
You're ready to move on when
- Recognised expertise in a niche technical area critical to our products.
- Ability to troubleshoot and solve highly specialised technical problems.
- Experience in designing and executing complex experiments or analyses.
- Strong analytical and data interpretation skills, with a focus on practical application.