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Synthesia
Synthesia

Product Designer, AI-Native Products (Senior/Staff-Level)

Remote · Europe; London Design Senior Posted 8d ago

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Role description

What the team is looking for.

We're looking for a Senior (L5) OR Staff (L6) Product Designer to lead design for Synthesia's AI-native product surfaces. This role is about solving AI-native design problems, such as designing real-time, conversational avatar experiences and creating interaction patterns for AI-driven workflows.

As a Senior Product Designer, you will:

  • 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.

You should apply if you bring:

  • Significant experience designing complex, high-usage product surfaces - ideally including AI-native products, agentic features, conversational interfaces, or products where the system takes meaningful autonomous action.
  • Strong craft in interaction design and visual design, and a track record of shipping work that measurably improves the product experience.
  • Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity.
  • Systems thinking: you understand how AI capabilities, model constraints, and product architecture shape what's actually possible in the UX - not just what looks good on a screen.
  • Excellent communication in design reviews and cross-functional decision-making contexts.
  • Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded.
  • A track record of tackling novel problems in maturing product spaces, and shaping the product from early-stage bets through to execution.
  • The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale.
Skills mentioned
  • AI-native products
  • agentic features
  • conversational interfaces
  • product architecture
  • interaction design
  • visual design
  • systems thinking
  • UX design