Jobs at Priceline

Own the AI-enabled Customer Care analytics architecture and roadmap while personally analyzing data to guide product and operational decisions. Build BigQuery-based AI workflows, reusable metric layers, dashboards, reports, and anomaly detection capabilities. Translate complex data into actionable narratives, improve data trust, support ROI modeling, and facilitate analytical discussions with Product, Operations, Data Science, Engineering, and senior leadership.

Design end-to-end travel booking experiences across responsive web, iOS, and Android. Create wireframes, prototypes, interaction patterns, and accessible UI while addressing complex user flows and edge cases. Conduct usability testing and interviews, collaborate with product and engineering, contribute to the Horizon design system, and measure design impact through KPIs and analytics. The role also requires effective use of AI-assisted workflows, particularly Claude, while maintaining ownership of final design decisions.

Define the target-state architecture for Priceline’s end-to-end Flights portfolio, including search, pricing, booking, supplier integrations, and post-booking systems. Design scalable distributed systems, APIs, data and AI/ML capabilities, experimentation platforms, and cloud-native solutions. Establish governance, standards, security, observability, and operational practices while leading build-versus-buy decisions and architectural roadmaps. Partner with executives, Product, Technology, Data, AI/ML, and suppliers, and coach senior engineers and architects.

Develop and maintain Java back-end systems, REST APIs, low-latency transactional services, and full-stack features using React, JavaScript, and GraphQL. Collaborate within agile teams, query application data with SQL, contribute to roadmap decisions, and apply continuous integration, automation testing, cloud, microservices, and container technologies.

Leads and grows a seven-person ML Platform and MLOps team while defining and delivering a centralized AI/ML platform. Responsibilities include ML and GenAI infrastructure, model training and deployment, evaluation, monitoring, observability, MCP and LLM gateway integrations, security, scalability, cost optimization, and cross-functional collaboration with data science, product, security, and engineering teams.

Develop Java full-stack applications for travel platforms, including REST and GraphQL APIs, React features, high-throughput transactional services, SQL queries, and real-time or batch data processing. Collaborate within an Agile team, contribute to product initiatives, investigate application data, and improve systems through testing, automation, and continuous integration. The role also involves working with microservices, NoSQL databases, Kubernetes, Docker, and AI-assisted coding tools.

Develop cloud-native Java applications, REST APIs, and high-throughput transactional services using Spring Boot and Kafka. Query data with SQL, monitor applications with Splunk and New Relic, and support CI/CD delivery. Collaborate in Agile teams to implement business-focused changes, troubleshoot systems, and contribute to product strategy. The role also involves using GenAI tools and may include microservices, Kubernetes, Docker, GCP, and AWS.

Leads customer-care implementations from planning through readiness, launch, stabilization, and transition. Owns train-the-trainer strategy, trainer certification, partner-site readiness, launch support, performance measurement, and continuous improvement across Flight, Hotel, and Rental Car services. Evaluates organizational readiness, coordinates cross-functional stakeholders and outsourced contact centers, manages risks and dependencies, and ensures successful training deployment and operational handoff. Flight servicing expertise is central to the role.

Own end-to-end technical relationships with strategic API partners: onboard, troubleshoot, monitor API performance, run technical reviews, create integration documentation, coordinate with Product and Engineering, and drive onboarding and integration quality improvements across multiple partner workstreams.

Lead technical relationships for strategic API partners, managing integrations from onboarding to growth. Troubleshoot integrations, monitor API performance, run technical reviews, create documentation and onboarding best practices, and collaborate with Product, Engineering, and Commercial teams to drive partner adoption and scale processes. Contribute to team development, process improvements, and the long-term partnership roadmap.

Lead and coordinate portfolio-level software releases, owning release planning, readiness checkpoints, risk and quality controls, stakeholder communications, and post-release analysis. Drive release process improvements, automation (CI/CD, feature flags), and governance to enable predictable, compliant delivery across product, engineering, QA, and operations.

Lead OTC (A/R & A/P) process improvements, SAP implementation support, UAT and data migration. Analyze and resolve order-to-cash issues, develop test cases, perform root-cause analysis, and collaborate with Fintech, GL, RevOps, FinOps and Compliance to deliver end-to-end solutions and ensure transactional and cash management excellence.

The Principal Enterprise Architect for the AI Platform leads technical strategy for AI systems, defining architectures, governance, and standards while influencing senior leadership and mentoring engineers.

Join a cross-functional Agile team to design and develop backend systems and REST APIs. Build low-latency, high-throughput services, apply Core Java, SQL, big-data tools, NoSQL stores, CI and automation testing, and collaborate on product roadmap and system improvements.

Lead portfolio-level release planning and coordination for Data and AI/ML platforms. Orchestrate cross-functional releases, enforce release readiness and governance, manage risks and dependencies, improve release automation and CI/CD, and track release health and model performance metrics while aligning stakeholders and ensuring operational readiness.

Manage and grow hotel partnerships to increase bookings and revenue by negotiating contracts, optimizing pricing and availability, analyzing market and partner performance, onboarding new hotels, training partners on systems, and collaborating with internal teams to execute market strategy and presentations.