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.
What sets us apart
What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
Meet the team behind this journey
Voice for Meetings builds DeepL's real time AI voice technology for professional collaboration. The team works on in call transcription, translation, and voice intelligence, delivered live across the meeting platforms people already use every day.
Your responsibilities
As Senior Engineering Manager for Voice for Meetings, you will lead the engineering team building DeepL's real time AI voice products. This is a hands on leadership role. You will be accountable for what the team builds and how well it works, and you will be close enough to the code to have a real opinion about it.
- Lead, develop, and grow a small team of senior engineers, owning hiring, performance, and career development.
- Drive end to end delivery of real time voice features from architecture through to production, holding a high bar for quality and pace at the same time.
- Own the technical direction for your team's systems. Stay close enough to the detail to challenge senior engineers credibly and to get into the code yourself when it helps.
- Work in a tight loop with your Principal Product Manager and senior technical lead, shaping what gets built rather than receiving a finished plan.
- Operate confidently at the boundary with applied science. Understand how inference, preprocessing, and training data drift affect the product, and translate between model realities and delivery commitments.
- Make and communicate clear technical trade offs under real constraints, including latency budgets, model quality, and timelines.
- Spot risks and gaps beyond your own remit and fix them properly, leaving the teams around you better off rather than just unblocking yourself.
- Build a high agency, low bureaucracy culture where engineers are trusted to make decisions and take genuine ownership of outcomes.