Jobs at Priceline

Own product strategy, discovery, prioritization, and delivery for Priceline’s Flights business. Define product vision and measurable outcomes, analyze customer and business data, manage backlogs and dependencies, and coordinate quarterly and sprint planning. Partner with engineering, design, finance, commercial, accounting, and data teams to deliver customer and business value. The role is hands-on and may involve troubleshooting database records and API responses.

Supports IT risk management, SOX compliance, and control testing. Responsibilities include evaluating control design and effectiveness, coordinating audit fieldwork, collecting evidence, maintaining risk and control frameworks, monitoring control performance, and partnering with internal, external, business, and technology stakeholders on compliance initiatives.

Design, build, and evolve resilient, high-performance payment and distributed data systems handling large-scale transactions and tracking events. Develop real-time decisioning, risk integrations, refunds, reconciliation, reporting, and attribution APIs. Select scalable technologies, ensure security and data integrity, collaborate cross-functionally, influence architecture, and mentor engineers while delivering mission-critical projects.

Build and ship Priceline’s native iOS applications for hotels, rental cars, and air travel. Develop scalable Swift and SwiftUI solutions, maintain Objective-C code, architect modular codebases, implement testing and concurrency, support CI/CD and feature-flagged releases, and collaborate with product, design, and engineering teams. Mentor other engineers while delivering fast, stable mobile experiences for a high-traffic consumer app.

The Senior Data Scientist will translate business problems into ML challenges, develop scoring and ranking models, and design content personalization strategies while collaborating across teams.

Lead product discovery, define vision and outcomes, prioritize backlog, and drive delivery by partnering with design, engineering, data, and business stakeholders to reduce flight P&L risk and deliver measurable business value.

Lead and grow Data Engineering teams to deliver secure, scalable data solutions. Drive delivery execution, agile ceremonies, design reviews, and cross-functional alignment with Product and Architecture while championing quality, CI/CD, and performance.

Build, operate, and evolve Priceline's developer platform: internal tools, CI/CD, deployment orchestration, and developer workflows. Design and maintain services/APIs integrating with GitHub, ArgoCD, Argo Workflows, Codefresh, Kubernetes and cloud. Collaborate cross-functionally, write well-tested code, debug platform issues, and improve developer productivity and governance.

Lead finance analytics initiatives by partnering with stakeholders, analyzing large datasets (SQL/BigQuery), delivering ad hoc and dashboard-driven insights (Tableau/Power BI), automating reporting, and driving process improvements to support executive decision-making.

Design and evolve scalable data architectures and frameworks for customer acquisition and retention. Lead technical decision-making, governance, and cross-functional collaboration; mentor engineers and introduce innovative data solutions like Data Mesh and real-time feature stores.

As a Software Engineer, you will develop scalable software, optimize automation, write maintainable code, and collaborate with cross-functional teams to enhance product delivery.

Support legal operations by managing corporate filings, providing litigation support, overseeing intellectual property, and improving knowledge management processes.

Design, build, and maintain end-to-end test automation for API/microservices and consumer-facing web applications. Architect scalable automation frameworks, convert manual regression suites to automated tests, validate UI and backend, build CI/CD test pipelines, and promote testing best practices across teams.

Build internal tools, automations, and AI-augmented workflows by embedding with teams, generalizing solutions into reusable platforms, integrating with vendors and internal systems, and creating measurement pipelines to track spend, adoption, and ROI signals.

Build and scale centralized end-to-end testing platforms, CI/CD workflows, and AI-augmented internal tools to improve developer experience and automate test reliability for mobile and web applications. Integrate tests into pipelines, design execution strategies, observability dashboards, and provide strategic consulting and evangelism to product teams.

Build internal tools, automations, and AI-augmented workflows by embedding with product teams, generalizing solutions into shared platforms, integrating AI vendors, and creating measurement pipelines to track spend, adoption, and outcomes.

The Associate Data Engineer will work on big data systems, support cloud migration, analyze data to improve products, and troubleshoot data infrastructure issues.

Design, operate, and evolve end-to-end observability solutions (metrics, logs, traces) across infrastructure and Kubernetes. Administer platforms (Splunk, New Relic, Grafana, ClickHouse, Lightrun), optimize telemetry pipelines for scale and cost, standardize instrumentation and alerting, support SLO-driven reliability, lead incident investigations and postmortems, and enable teams through governance, tooling, and automation.