We're looking for a Senior (L5) OR Staff (L6) Product Designer to lead design for Synthesia's AI-native product surfaces: the experiences where employees learn through conversation, companies localise content at scale, and AI becomes a direct participant in how work gets done - not just a tool behind the scenes
This area is central to redefining what a video platform can be: moving upstream from content creation into workforce development, and making complex AI capabilities feel natural, trustworthy, and effective for everyday users
You'll operate as a senior IC: setting direction, influencing roadmap decisions (not just contributing), shaping bets with Product and Engineering leaders, and raising the craft bar either across Skills or Dubbing & Localisation
In practice, this role is about solving AI-native design problems, for example
Designing real-time, conversational avatar experiences that feel engaging and natural - not robotic or gimmicky - for employees learning and practising skills at work
Creating interaction patterns for AI-driven workflows (dubbing, localisation, skills authoring) that give users the right amount of control, transparency, and trust without overwhelming them with complexity
Improving output quality through better structure, guidance, and feedback loops - helping users understand what the AI is doing, catch issues early, and iterate with confidence
Designing localisation workflows that scale across languages, locales, and content types - handling the nuance between dubbing, translation, and full cultural adaptation without exposing that complexity to users
Working at the frontier where AI changes what "interaction" means, and the best patterns are genuinely still being invented
Own major AI-native bets end-to-end, from problem framing to shipped outcomes and iteration
Set a design vision for either Skills or Dubbing & Localisation surfaces, and influence adjacent product areas to stay coherent
Partner closely with Product and Engineering to define what "great" looks like (principles, quality bar, success metrics) and then drive toward it
Prototype and test interaction models quickly - including novel agentic and conversational patterns - and know when high-fidelity matters
Raise the bar on craft: interaction design, UI quality, systems thinking, and consistency across AI-native experiences