Currently tracking 14 active AI roles, with 252 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
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.
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 Machine Learning Scientist Senior Machine Learning Scientist role focused on researching, designing, and developing core AI capabilities for an agentic platform at Booking.com. The role involves creating advanced agent strategies, context management, memory systems, and multi-agent patterns, enabling other teams to build and deploy AI agents without deep AI expertise. Emphasis on translating state-of-the-art techniques into production-grade, scalable capabilities. | Agent | 9 |
| Machine Learning Manager - GenAI Foundation Models Manager for a team building and deploying foundation and fine-tuned LLMs for travel-related applications like chatbots, text generation, summarization, and Q&A. Focuses on research, development, and engineering aspects of LLMs, including scalable deployment with minimal latency. | Pretrain |
| 9 |
| Machine Learning Scientist II - Content Intelligence Machine Learning Scientist II at Booking.com focused on the Content Intelligence team. The role involves building, training, and deploying content models (Computer Vision, NLP, Generative AI) and in-house LLMs for applications like moderation, translation, AI trip planner chatbot, and content generation. Responsibilities include exploring state-of-the-art techniques, training innovative ML models, engineering reusable frameworks, conducting data analysis, and collaborating with ML engineers and product teams for production deployment. | Post-trainAgent | 8 |
| Senior Machine Learning Scientist I Senior Machine Learning Scientist role focused on designing, developing, and deploying agentic, ML-powered solutions for customer-facing applications within Booking.com's GenAI Applications team. Responsibilities include building agentic systems, developing evaluation strategies, and collaborating with cross-functional teams to drive business impact. | Agent | 8 |
| Senior Machine Learning Scientist I - GenAI Applications Senior Machine Learning Scientist focused on GenAI Applications within Booking.com's Data & AI Marketplace department. The role involves designing, developing, and evaluating agentic, ML-powered solutions for customer-facing applications like booking search and trip planning, utilizing LLMs, recommendation systems, and agent-based architectures. Key responsibilities include researching, training, fine-tuning, and evaluating models, driving experimentation, and collaborating with cross-functional teams to deploy AI solutions. | AgentPost-train | 8 |
| Senior Machine Learning Engineer I - GenAI Applications Senior Machine Learning Engineer for the GenAI Infra team, responsible for building and deploying the Agents platform at Booking.com. This role focuses on developing and serving GenAI capabilities, including agents, tools, and orchestration, for applications like the AI Trip Planner and free text search. Key responsibilities include deploying ML models, evaluating architecture solutions, developing generative models, integrating models into production, and owning services end-to-end. | AgentServe | 8 |
| Senior Solutions Architect - Data & AI Senior Solutions Architect for Data & AI within the Marketplace business unit, responsible for defining and evolving the architectural north star, partnering with leaders on strategy, and leading the enterprise architecture for Generative AI deployment. The role requires deep technical expertise in large-scale data platforms, end-to-end ML systems, modern AI systems including agentic frameworks, vector databases, and LLM evaluation, as well as cloud-native architectures and regulatory compliance. | AgentServe | 7 |
| Data Engineer II - Content Intelligence Data Engineer II role focused on building and optimizing data pipelines to support Generative AI foundation models and supervised fine-tuning. The role involves working with large textual and image datasets, ensuring data quality for ML models, and collaborating with data scientists and engineers to deliver production-level ML solutions. | DataPost-train | 7 |
| 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 |
| Senior Machine Learning Scientist I - Performance Marketing Senior Machine Learning Scientist role focused on optimizing large-scale ML systems for online bidding in performance marketing. The role involves end-to-end research-to-production cycles, from POCs to A/B tests, to drive measurable impact in online auctions. Responsibilities include developing ML systems quality improvement programs, identifying opportunities for process improvement, building proof-of-concepts, writing production-ready code, and contributing to the ML community through training and mentoring. | Ship | 7 |
| AI Backend Software Engineer II - AI Application Platform Software Engineer on the AI Application Platform team, responsible for designing and building the core platform that enables product teams to rapidly develop and deploy AI-powered experiences. This involves tackling complex performance and scaling challenges, shaping AI infrastructure, and collaborating with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale. The role requires building and maintaining scalable backend services for real-time AI/ML inference, model deployment, and data pipelines, with end-to-end ownership of system reliability and operational excellence. | AgentServe | 7 |
| Senior Product Manager - Recommendations Applications (RecApp) Senior Product Manager for Recommendations Applications (RecApp) team at Booking.com. This role focuses on building and scaling recommendation products and capabilities across various Booking.com verticals. The position requires defining strategy, roadmap, and success criteria, working closely with engineers, ML scientists, and data scientists, and driving experimentation. The ideal candidate has extensive experience in ML-powered products, particularly in recommendations or related fields, with a strong background in data science, analytics, and experimentation. The role involves managing complex systems, collaborating across teams, and communicating effectively with stakeholders. | ShipAgent | 7 |
| Machine Learning Engineer II - Benefits & Pricing Track Machine Learning Engineer II on the Benefits and Pricing Optimization team within Marketplace Data & AI at Booking.com. The role focuses on building and enabling ML decisioning for price, discounts, and promotions, impacting the customer journey and business. Responsibilities include model evaluation and optimization, data pre-processing, building and deploying scalable ML models for personalized recommendations, and integrating models into production systems. Requires 5+ years of experience, Python proficiency, experience with cloud ML frameworks (AWS SageMaker), ML libraries (TensorFlow, PyTorch, scikit-learn), big data tools (Spark, Airflow, Snowflake), and causal inference/A/B testing. | ServePost-train | 7 |
| Senior AI Engineer Senior AI Engineer to design and implement a next-generation People Assistant, a conversational AI platform for HR systems, focusing on orchestrating multiple AI agents for seamless employee interaction and transaction completion. | Agent | 7 |
| Senior Software Engineer I - AI Applications - Marketplace Senior Software Engineer role focused on building and deploying AI applications, specifically LLMs and agents, for the consumer travel experience. The role involves designing AI workflow infrastructure, collaborating with ML engineers and data scientists, and ensuring system reliability and operational excellence at scale. | AgentServe | 7 |
| Machine Learning Manager - Recommendations & Smart Positioning Machine Learning Manager for Recommendations & Smart Positioning team at Booking.com. The role involves leading a team of ML scientists to develop and deploy ML solutions for product ordering, recommendations, search optimization, and filters across the platform, managing billions of requests daily. Responsibilities include team building, roadmap definition, technical decision-making, and ensuring the delivery of innovative ML models and AI solutions within production constraints, impacting a large customer base. | ShipPost-train | 7 |
| Machine Learning Engineering Manager - Ranking and Recommendations track Machine Learning Engineering Manager for the Ranking and Recommendations track at Booking.com. This role leads a team focused on foundational ML & Data layers for personalization systems, including search ranking and recommendations. Responsibilities include developing scalable ML infrastructure and pipelines, enabling ML scientists to productionize RecSys solutions, managing ML engineers and data engineers, and collaborating with stakeholders to translate business requirements into ML solutions. The role requires experience in leading ML engineering teams, deploying end-to-end ML models, and working with cloud frameworks and big data technologies. | AgentServe | 7 |
| Senior Data Engineer I - GenAI Foundation Models Senior Data Engineer role focused on building and optimizing data pipelines for GenAI foundation models and supervised fine-tuning. The role involves processing massive textual and image data, ensuring data quality, and providing tools for ML scientists and the analytics community. It requires experience with cloud data pipelines, big data frameworks, and database systems, with a focus on enabling ML model training and product improvement. | DataPost-train | 7 |
| Data Engineer II - GenAI Data Engineer II - GenAI role at Booking.com focused on building and optimizing data pipelines for training and optimizing content models, including GenAI foundation models and supervised fine-tuning. The role involves working with large datasets (petabytes) from various sources to ensure high-quality data for ML platforms and downstream applications, collaborating with data scientists and engineers. | Data | 7 |
| Data Analyst I - ServiceNow This role focuses on operational reporting and insight generation for IT Service Management (ITSM), IT Operations Management (ITOM), IT Asset Management (ITAM), and IT Procurement. The Data Analyst will own monthly departmental reporting, translate business problems into data stories, and monitor the performance of both human teams and AI/automated workflows. The role requires strong skills in ServiceNow, data visualization tools like Tableau, and critical thinking to provide actionable insights. | — | 5 |
| Data Analyst II - Intent Insights, Marketplace The Data Analyst II will partner with Marketplace product teams to provide insights for orchestrating the Connected Trip, empowering travelers through AI-native customer experiences. This role involves collaborating with UX, AI/ML, Data Engineering, and Data Scientists to develop novel travel planning solutions, build reporting and measurement frameworks, and generate data insights. The analyst will own the design and delivery of data analytics solutions, prepare data, translate business problems into data stories, and create visualizations. Experience with Python/R/SQL, data visualization, stakeholder management, and storytelling are required. Experience with AI-native applications is a bonus. | — | 5 |
| Product Manager - BDX IAM Product Manager for a Data and Machine Learning Platform's Identity and Access Management (IAM) system, focusing on enterprise-wide Data & AI governance capabilities. The role involves defining product strategy, driving adoption, and ensuring secure and compliant access to multi-modal data for both traditional and agentic consumption. | — | 5 |
| Director of Technology - Customer Service Director of Technology for Customer Service at Booking.com, responsible for the technology vision, product build, and integration teams powering the Customer Service department. This role will lead the technology strategy for the Customer Service platform, including enterprise architecture, third-party integrations, API ecosystem, bespoke agent tools, and managing development staff. Key areas include AI for agent support (co-pilot, summarization) and AI for customer support (voice and chat bots). Requires extensive leadership experience, stakeholder management, and a proven track record in designing and building high-quality services, particularly for customer service organizations. | Ship | 5 |
| 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 |
| Risk and Compliance - IC - E This role partners with platform owners and development teams to design and maintain IT security and compliance controls, focusing on cloud and devops environments. It involves executing technical risk assessments, maintaining a risk inventory, and driving automation initiatives, including leveraging AI for compliance bottlenecks. The role also requires reporting on risk insights and supporting audit readiness. | — | 5 |
| Finance Intern (Amsterdam) Internship role focused on finance operations, with opportunities to explore and apply AI tools for process improvements, automation, and strategic research within financial planning, accounting, and order-to-cash functions. The role involves assisting with daily operations, supporting financial reporting, conducting ad-hoc analysis, and contributing to transformation projects, including the development of AI-driven assessments and Gen AI workflows. | — | 5 |
| Technical Product Manager - Data Foundations Technical Product Manager for Lineage Sourcing product within Booking.com's Data Foundations group. This role focuses on setting product vision, GTM strategy, and driving adoption of enterprise-wide lineage tooling for OLTP and OLAP data and AI systems. The product aims to enable managed sourcing of table and column level lineage, powering data & AI product discovery, impact analysis, and enhancing trust and governance across the enterprise data landscape. The role requires balancing needs of data & AI practitioners and compliance/control/legal functions, with a deep understanding of large-scale distributed enterprise data systems. | Data | 5 |
| Data & AI Governance Configuration Manager This role focuses on managing Data & AI Governance initiatives, including policy enforcement, regulatory compliance (GDPR, DMA, SOx, EU AI Act), data stewardship, and metadata management. It involves leading a team of specialists and driving the adoption of governance tools and practices within a large organization. The role requires a technical background in governance frameworks and risk management, with a strong emphasis on operational excellence using tools like Jira and Confluence. | — | 5 |
| Graphic Designer, Booking Ads Graphic Designer for Booking Ads responsible for visual identity, strategic storytelling, and AI tool integration to create scalable assets for commercial stakeholders. Collaborates with UX, Video, PMM, and Commercial teams. | — | 5 |
| Enterprise Applications Engineering - IC - F The role is for a ServiceNow AI Developer responsible for leading the AI transformation of the ServiceNow platform at Booking Holdings. This involves designing, deploying, and governing AI solutions using Now Assist, Virtual Agent, and Predictive Intelligence, focusing on enterprise automation and digital workflows. | Agent | 5 |
| Business Application Engineer - Service Now (ITSM) The role focuses on leveraging AI capabilities within the ServiceNow platform, specifically Now Assist, Virtual Agent, and Predictive Intelligence, to transform enterprise automation and digital workflows. The engineer will design, deploy, and govern these AI solutions, moving beyond traditional ITSM configuration. | Agent | 5 |
| Fullstack Software Engineer-II Full Stack Software Engineer II on the Fraud Engineering Team at Booking.com. This role involves designing, building, and operating end-to-end product features across the stack (front-end, back-end, data & integration) in a cross-functional team. Responsibilities include API/microservice development, UI development, backend service implementation in Java, database work, testing, CI/CD, production monitoring, incident response, and collaboration with product/design/data. The role requires experience with modern AI tooling for development acceleration, operating high-volume, low-latency services, and AWS cloud services. Experience in e-commerce, travel, payments, or fraud/risk domains is a plus. | — | 5 |
| Data Product Manager - Marketplace Product Manager for a Traveller Intelligence platform that builds a unified, real-time traveller profile and API gateway. This platform powers product surfaces, AI agents, and analytical systems, aiming to enhance personalization and drive business growth. The role involves defining product strategy, managing roadmaps, collaborating with engineering and data science, and ensuring data quality and accessibility. | — | 5 |
| Senior Business Operations Associate - Fintech The Senior Business Operations Associate - Portfolio Management role at Booking.com focuses on designing, driving, and improving portfolio governance, planning rhythms, and tooling for a FinTech sub-department. This role involves orchestrating key processes like Quarterly and Annual Planning, Quarterly Business Reviews, and demand intake, ensuring alignment with strategic priorities. The associate will also shape and champion the use of tools like Jira and Confluence, define and build portfolio insights and dashboards, and experiment with AI-powered tools to automate reporting and streamline activities. Strong stakeholder management, analytical thinking, and experience in fast-paced, technology-driven organizations are required. | — | 5 |
| Risk and Compliance Officer, Central Tech This role partners with risk owners in the Data & Machine Learning Platform domain and development teams to identify risks, drive risk responses, and support the design of internal controls. It focuses on ensuring regulatory compliance (SOX, NIST, DMA, DSA, EU Act Act, NIS2), architecting guardrails for secure onboarding, and driving automation initiatives for compliance bottlenecks. The role requires experience with scripting languages like Python and GRC tools, and a strong understanding of technology risk domains including AI/GenAI. | — | 5 |
| Data & AI Governance Compliance Analyst This role focuses on ensuring compliance and governance for data and AI initiatives within Booking.com. The analyst will translate complex regulations (like DMA, EU AI Act) into practical agile practices, helping product and tech teams navigate data governance and ethical AI without hindering development. Responsibilities include overseeing compliance dashboards, operationalizing governance frameworks, monitoring regulatory adherence, identifying risks, assisting with tool adoption, maintaining policies, and preparing for audits. The role requires experience in Data Governance and Compliance or a related analytical background, strong communication skills, and an understanding of risk management. | — | 5 |
| Senior Threat Intelligence Analyst Senior Threat Intelligence Analyst responsible for maturing the threat intelligence offering, conducting proactive research on cyber attacks, performing daily operational tasks, leading intelligence requirement gathering, producing tailored threat intelligence reporting, and collaborating with vendors and internal teams. The role involves leveraging AI and LLMs for intelligence use cases and requires experience in scripting/engineering for automation. | — | 5 |
| Global Learning Team Leader This role leads a team responsible for the operating backbone of the Learning & Development function within Booking.com's Customer Service division. The team manages learning operations, skills strategy, analytics, content governance, and learning technology systems, including GenAI platforms. The leader will partner with stakeholders to ensure learning drives business performance and customer outcomes. | — | 1 |
| 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 |
| Senior Data Scientist - Marketplace Senior Data Scientist role at Booking.com focused on Marketplace, specifically Loyalty & Incentives Insights or Trip Management & Order Insights. The role involves driving strategy, designing experiments, building prototypes, and informing business decisions through data analysis and modeling. It requires collaboration with ML, Product, and Data Engineering teams, and a focus on producing high-quality, reproducible code. The role also involves stakeholder management, mentoring, and contributing to the data science community. | — | 1 |
| Booking Holdings Romania - Security Engineer - Data Detection & Response Security Engineer focused on Data Detection & Response, responsible for engineering, maintaining, and optimizing CASB and DLP systems for high-fidelity detection and automated incident response. This role involves applying SRE practices, implementing 'Security as Code', developing detection logic, and creating Python-based automation playbooks within a SOAR platform. The engineer will also ensure compliance with regulations like PCI-DSS, GDPR, and SOX. | — | 1 |
| Engineering Manager - ServiceNow Platform Engineering Manager for the ServiceNow Platform at Booking.com, responsible for people leadership, platform health, and delivery outcomes. The role involves leading engineering teams to build, operate, and evolve the enterprise ServiceNow platform, ensuring stability, performance, and automation. Key focus areas include platform observability, automation for toil reduction, CMDB stewardship, integration reliability, and cross-platform collaboration. The role will also involve partnering with Product and ServiceNow to adopt AI-augmented operations for use cases like case triage and developer productivity, aligning with company AI targets and governance. | — | 1 |
| Senior Account Manager, Mexico City Senior Account Manager role focused on managing relationships with high-value partners for Booking.com, providing analysis, growth opportunities, and promoting new products and services. Requires experience in account management, understanding of revenue and distribution, and strong stakeholder management skills. | — | 0 |
| Customer Complaints Executive (Insurance) This role is for a Customer Complaints Executive in the insurance sector, responsible for investigating and resolving customer complaints end-to-end. It requires strong analytical and communication skills, adherence to regulatory requirements (FCA, AFM), and collaboration with internal and external stakeholders. The role involves managing complaint logs, preparing responses, and contributing to process improvements. | — | 0 |
| Senior Security Architect Senior Security Architect at Booking.com to lead the security architecture domain within Tech Standards, translating enterprise architecture direction into practical principles and guidance for engineering teams. The role focuses on enabling engineers to build secure systems without slowing delivery, shaping security non-functional requirements, and embedding security into the SDLC. | — | 0 |
| Booking Holdings Romania - Data Reporting Analyst Intern Intern role assisting Data Analytics Engineers with supporting internal stakeholders, translating business questions into technical requirements, and implementing solutions. Responsibilities include developing front-end layouts, KPI visualizations, improving data models, building data transformation pipelines using SQL and Python, utilizing dbt and Snowflake, automating workflows with JavaScript, and maintaining data pipelines and reports. | — | 0 |
| Booking Holdings Romania - Learning & Development Intern This is an intern role in Learning & Development focused on HR initiatives, including supporting AI upskilling programs and events. The role involves administrative tasks, organizing workshops, designing learning materials, and staying updated on AI trends. It is not a hands-on AI/ML development role. | — | 0 |
| Software Engineer II - BDX Developer Experience Software Engineer II on the BDX DevEx team at Booking.com, focused on improving developer productivity for data scientists, ML engineers, and analysts. The role involves designing, building, and maintaining core developer tools, SDKs, and platform integrations, with an emphasis on PySpark and dbt workflows. Responsibilities include enhancing analytics workflows, driving technical execution for backend platform projects, and ensuring quality through CI/CD and automated testing. Requires 3+ years of Python experience, familiarity with Spark, dbt, Airflow, AWS, Snowflake, and a strong understanding of developer experience and operational ownership. | — | 0 |
| Software Engineer 2 Software Engineer 2 role at Booking in Bangalore, India. Involves pre-employment screening for background checks. | — | 0 |