Booking currently has 14 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with application and data roles each representing 14%. Engineering is the dominant function, with 12 roles posted. The company is hiring for roles that frequently mention model serving, agent orchestration, and inference infrastructure. In the last 30 days, Booking has posted 11 new AI roles.
Currently tracking 14 active AI roles, with 252 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
Booking currently has 11 active AI-related roles in our index. The most common open titles are: Data Engineer II - Content Intelligence, Data Engineer II - GenAI, Machine Learning Engineer II - Benefits & Pricing Track, Machine Learning Manager - Recommendations & Smart Positioning, Machine Learning Scientist II - Content Intelligence. Most positions are in Engineering and Research.
Booking's active AI hiring is concentrated in: agents (36%), data (27%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Booking is hiring AI talent in: Netherlands (6 roles), Israel (4 roles), United Kingdom (1 role).
Job postings at Booking most frequently mention: Machine Learning, Python, Market & Technology Trend Analysis, TensorFlow, Supervised Fine-Tuning (SFT).
In the past 30 days, Booking has posted 5 new AI-related roles. That is a -58% change versus the prior 30 days (12 → 5).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer II, Marketplace- Genius Senior Software Engineer II for Booking.com's Marketplace, Genius VIP team in Shanghai. Focuses on developing products that impact a large customer base, requiring strong software engineering principles, coding, testing, and system design skills. Experience in Java, Go, or Python is needed. | — | 0 |
| Engineering Manager Engineering Manager at Booking.com in Shanghai, China, responsible for leading a team of engineers to modernize and re-architect product components, manage and develop talent, and ensure timely and quality delivery of software. The role requires strong technical skills, people management, and stakeholder engagement. | — | 0 |