Etsy operates a two-sided marketplace serving 8 million active sellers (80% women on Etsy.com) and 95 million active buyers across nearly every country, facilitating over $12 billion in transactions annually. The tech stack reveals heavy ML investment—PyTorch, Kubernetes, KServe, NVIDIA Triton, Ray—with active development on next-generation ML platforms and embeddings infrastructure, while migrating from TensorFlow. Hiring velocity is accelerating with engineering and product roles leading; pain-point data shows internal focus on ML developer velocity, search relevance, and seller-experience improvement, suggesting the company is shifting from marketplace operations toward AI-driven discovery and personalization.
Tech Stack 31 technologies
What Etsy Is Building
◆Challenges
- Improving seller experience
- Improving ml developer velocity
- Improving self-service quality
- Increasing reliability
- Improving search relevance
- Support accessibility
- Support long-term buyer ltv
- Simplifying listing workflows
- Streamlining hr processes
- System performance issues
▲Active Projects
- Trend analysis & insights
- Next generation ml platform
- Design system backlog management
- Feature and embeddings infrastructure
- Design system evolution and maintenance
- State-of-the-art ml systems for two-sided marketplace
- Implement new modules
- Automation solutions
- Email push sms communication
- Discovery flywheels
Hiring Activity
Department
Seniority
Notable leadership hires: Product Design Director
