Meet DeepL
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.
Meet the team behind this journey
A good translation is accurate. A translation an organisation can actually publish has to use their words, follow their style, and sound like them. That is what this team builds. Customisation used to be a feature inside our translator. It is now a pillar of an enterprise platform. A customer's terminology, style rules and translation memory apply to documents and presentations, run inside multi step translation flows, and feed quality evaluation that understands which customisations were applied. It is one of the clearest reasons large organisations choose DeepL and stay with us.
We own that surface end to end: glossaries and terminology, style rules, style profiles and translation memory, along with the sharing and administration that let an organisation govern all of it. We work alongside a research team who build the models that apply a customer's voice to the translation itself, which makes this one of the more genuinely collaborative engineering roles at DeepL.
Your responsibilities
- Lead, grow and develop a small, senior full stack team, and set its technical direction across services and the customer-facing web experience.
- Own the customisation surface end to end: terminology and glossaries, style rules, style profiles, translation memory, and the sharing and administration around them.
- Shape the product, not just deliver it. Work with your product manager and designer to define how customisation should actually feel to use, and bring a point of view of your own rather than waiting for a specification.
- Challenge what we are shipping. The biggest wins available here are the unglamorous ones: making it possible to organise, find and trust a large set of customisations rather than being buried by them. We want someone who spots those and argues for them.
- Take responsibility for whether customers use what we build, not just whether we ship it. Find out where people drop out of the journey and close those gaps.
- Reduce the setup burden. Make configuring customisation something an administrator can do confidently on their own rather than something that needs weeks of guided onboarding.
- Partner with our research colleagues to bring adaptive, context-aware personalisation from prototype into a product customers trust, including the transparency that lets them see why a translation was personalised.
- Look after customer-owned assets properly. Glossaries and translation memories are what our customers have invested most in, and they need to be safe, portable and correctly scoped.
- Work across research, product, design, platform, identity and go-to-market teams, and turn what customers are hitting into engineering priorities leadership can act on.