Overview
In this role you lead DeepL’s Voice for Meetings engineering team, delivering real-time AI voice features that power professional collaboration. You’ll shape the technical direction, work closely with product and applied science leaders, and ensure high-quality, low-latency delivery. You’ll balance hands-on coding with people leadership to grow a senior team and influence product strategy. The opportunity combines cutting-edge AI with meaningful, scalable impact across global teams. This role offers visibility, ownership, and the chance to shape a critical product on the company’s growth path.
Pay / Benefits
- Hybrid work
- 30 days of annual leave
- Virtual Shares
- Hack Fridays
- Regular in-person team events
- Competitive benefits
Responsibilities
- Lead 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 to production
- Own the technical direction for the team’s systems and contribute to architectural decisions
- Collaborate closely with Principal Product Manager and senior technical lead to shape what gets built
- Bridge engineering with applied science to understand inference, preprocessing, and data drift effects on the product
- Make and communicate trade-offs under latency, model quality, and timeline constraints
- Identify risks and gaps beyond scope and implement lasting fixes
- Foster a high-agency, low-bureaucracy culture with ownership of outcomes
Key requirements
- Managed engineers directly and owned a team’s delivery, performance, and development
- Led product-facing engineering projects with real-time, distributed, or streaming systems
- Ability to reason about architecture, failure modes, and make credible design judgments
- Pragmatic understanding of ML systems in production: inference, preprocessing, data drift
- Independent, proactive work style with strong product and commercial intuition
- Comfort working at evolving directions with competing priorities
- Independent thinking
- Proactive ownership
- Strong communication and collaboration
- Real-time voice / streaming systems
- Distributed systems at scale
- Latency-sensitive architecture
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