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 215 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
Booking currently has 13 active AI-related roles in our index. The most common open titles are: Data Engineer II - GenAI, Data Scientist- Performance Marketing, Director of Technology - Customer Service, Machine Learning Engineer II - Benefits & Pricing Track, Machine Learning Manager - Recommendations & Smart Positioning. Most positions are in Engineering and Product.
Booking's active AI hiring is concentrated in: application (31%), agents (31%), serving infrastructure (15%). 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 (3 roles).
Job postings at Booking most frequently reference: model serving, recommender systems, agent orchestration, llm observability, search ranking.
In the past 30 days, Booking has posted 11 new AI-related roles. That is a +120% change versus the prior 30 days (5 → 11).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Scientist I - Performance Marketing Machine Learning Scientist role focused on optimizing large-scale ML models for online bidding in performance marketing. The role involves developing advanced ML and optimization techniques for bidding algorithms, modeling user intent and marketplaces, and optimizing bidding strategies to maximize advertising budget efficiency. It also includes designing and implementing scalable evaluation pipelines, synthetic data generation, and benchmarking for model quality. The position requires a strong understanding of large-scale optimization, auction theory, and applying ML to industrial setups, with a focus on end-to-end research-to-production cycles and A/B testing. | AgentEval Gate | 7 |
| Product Manager - AI Trip Support Team Product Manager for Booking.com's AI Trip Support team, focusing on GenAI powered conversational UI for customer self-service and satisfaction. This is a founding team member role in a new, ground-up team. |
| Ship |
| 5 |
| Data Scientist- Performance Marketing Data Scientist role focused on building and optimizing large-scale ML models for online bidding in performance marketing. The role involves end-to-end ownership from ideation to implementation, including data consumption, preparation, statistical analysis, modeling, and experimental design to inform business decisions and optimize auction levers. Collaboration with stakeholders and mentoring junior colleagues are also key aspects. | Serve | 5 |
| Learning and Development Knowledge Manager The L&D Knowledge Manager will oversee the knowledge management strategy for an L&D Academy, focusing on capturing, sharing, and utilizing knowledge. This role involves managing knowledge repositories, facilitating knowledge sharing, and promoting continuous learning, with an emphasis on supporting an AI-first and Tech Enablement strategy and leveraging Gen AI for content mapping. | — | 1 |
| UX Writer I - Car Rental UX Writer for Car Rental product at Booking.com, focusing on clear and concise messaging across online channels and platforms to improve customer experience. Collaborates with product teams, designers, and other stakeholders to develop and execute business strategy through writing. Uses data and metrics to measure impact and iterate on work. Requires at least 1 year of UX writing experience and a strong portfolio. | — | 0 |
| Software Engineering Manager Engineering Manager for the Insurance Offer Team at Booking.com, focused on building the insurance platform to enhance customer experience and increase bookings. The role involves managing, coaching, and developing a team of software and test engineers, overseeing end-to-end system ownership, technical incident management, and architectural guidance. Requires strong technical leadership, delivery management, and collaboration skills, with proficiency in cloud technologies and agile practices. | — | 0 |
| Engineering Manager Engineering Manager for Booking.com's Marketplace teams, responsible for leading a high-performing team that maintains and evolves mission-critical systems. The role focuses on creating an environment for engineers to design, build, and operate reliable, scalable platform components, ensuring technical decision-making, software delivery, operational excellence, and sustainable execution. Two potential teams are Conversational Platform (handling text, voice, video conversations for travelers, processing millions of messages daily, routing to human or AI actors) and Order Platform (source of truth for reservation data, orchestrating creation and changes). Responsibilities include people leadership, technology/craft/delivery guidance, architecture, and product strategy, with a focus on building new product capabilities and driving innovation. | — | 0 |
| Technical Product Manager - Order Platform Technical Product Manager for Booking.com's Order Platform, focusing on building infrastructure for multi-product transactions (accommodations, flights, etc.) within a single checkout process. The role involves owning the vision and roadmap for the booking lifecycle, defining technical logic for cross-product orchestration, enabling self-service for product verticals, scaling platform capabilities for high traffic, and translating business requirements into platform features. Requires experience in high-scale backend ecosystems and understanding of complex software service interactions. | — | 0 |
| Data Manager II Data Manager II role focused on establishing and overseeing data management policies, practices, and controls, with a specific emphasis on data governance, data quality, and regulatory compliance. The role involves implementing AI governance standards, managing data risks, designing data quality frameworks, monitoring data quality, applying classification and metadata management, and defining data lifecycle requirements. It requires strong SQL and scripting skills, experience with data management tools, and stakeholder management. The role also involves coaching and supporting other data professionals. | — | 0 |
| Managing Director Attractions Managing Director for Booking.com's Attractions & Experiences business, responsible for P&L, strategy, commercial growth, and product development. The role involves leading a global team, developing supply and demand, and integrating AI to improve productivity and customer proposition. | — | 0 |
| Senior Data Science and Analytics Manager - Trips Senior Manager of Analytics & Data Science Insights at Booking.com, leading a team of data scientists and analysts to drive data-driven decision-making in the Trips domain. Responsibilities include overseeing analysis quality, insights, and experimentation, developing data science strategy, managing managers, and aligning with company-wide DS&A requirements. Focus on craft excellence, business impact, and team member development. | — | 0 |