About this role
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Airbnb's Creative Studio is part of the team that establishes and maintains the voice — and the judgment — behind everything we write, generate, and publish at scale. You'll sit alongside writers and creative directors in a group that thinks about language the way a great designer thinks about visuals: with precision, taste, and an instinct for what's right versus what's merely correct. Your closest cross-functional partner will be Marketing Technology, whose teams build and tune the language models and editorial tooling you'll help shape. You'll also partner regularly with Legal, Trust, and Localization to ensure editorial standards and processes hold up across markets, languages, and regulatory considerations.
The Difference You Will Make:
You'll be responsible for shaping and maintaining Airbnb's brand voice and guidelines, training and refining the AI models that generate copy at scale, and serving as the final line of editorial judgment on AI-generated output before it reaches the world. This role is for someone whose taste and standards quietly define what "sounds like the brand" means, extended into an AI-assisted production pipeline. You won't just be proofreading — you'll be defining what "good" means for a system that writes at a scale no human team could match alone, and making sure it never loses the craft, warmth, and precision that language deserves.
A Typical Day:
• Own and evolve Airbnb’s brand voice, tone, and editorial guidelines, ensuring they’re clear, opinionated, and usable by both humans and AI systems.
• Partner with Marketing Technology teams to train, fine-tune, and evaluate language models against brand voice standards, providing the editorial judgment that shapes what “on-brand” means at a model level.
• Review and refine AI-generated copy across campaigns, product, and marketing surfaces — catching not just errors, but tone, nuance, and craft issues an automated system would miss.
• Build and maintain scalable editorial QA processes for AI-generated content, defining what requires human review versus what can ship autonomously.
• Translate brand guidelines into structured inputs (style guides, prompt frameworks, training examples) that improve model output over time.
• Partner cross-functionally to develop new internal tools that support editorial review, model training, and content QA, bringing an editorial point of view to how these tools are structured and used.
• Identify gaps in the current tooling ecosystem and help scope, prioritize, and define requirements for new tools that improve editorial effici