Top Tech Jobs & Startup Jobs

Develop and maintain scalable advertising technology software and services. Design APIs, data models, and system components; write secure, tested code; troubleshoot production issues; and improve monitoring, automation, performance, and operational resilience. Collaborate with engineering, product, and partner teams to deliver platform capabilities. Contribute to AI/ML-enabled solutions, architecture discussions, and high-scale distributed systems.

Leads vacation-rental business performance by owning scorecards, defining and tracking KPIs, managing complex cross-functional programs, and aligning initiatives with strategy. Analyzes performance data, identifies trends and corrective actions, prioritizes programs, manages risks and dependencies, and presents recommendations to senior leadership. The role serves as a subject matter expert, drives continuous improvement, and coordinates teams across product, operations, finance, marketing, sales, service, and support.

Research and develop scalable machine learning and data science solutions for Vrbo pricing and monetization. The role applies causal inference, operations research, optimization, demand estimation, and experiment design to production systems. Responsibilities include defining performance metrics, analyzing complex datasets, collaborating with scientists, engineers, product managers, and analytics teams, communicating technical plans, and validating models through A/B testing.

Leads a global workforce management organization supporting customer operations across regions, channels, and delivery sites. Oversees capacity planning, real-time management, resource optimization, workforce technology, and transformation initiatives. Uses data, automation, reporting, and continuous improvement to increase productivity, service levels, utilization, quality, and resilience. Partners with operations, outsourcing providers, finance, technology, product, and senior stakeholders while developing managers and organizational leadership depth.

Own Expedia’s end-to-end loyalty messaging strategy across discovery, shopping, booking, and post-trip engagement. Define value-led messaging hierarchies, optimize member communications, and create scalable frameworks across travel lines of business and brands. Partner with commercial, design, engineering, research, analytics, and loyalty teams. Use experimentation, measurement, and safely integrated AI/ML solutions to improve comprehension, activation, repeat bookings, personalization, and member trust.

Leads an applied science team developing scalable machine learning and data science solutions for pricing and monetization. Responsibilities include architecting models, providing technical guidance, setting strategy and roadmaps, managing execution, hiring and mentoring scientists, and collaborating with engineering, product, analytics, and operations teams. The role also contributes to causal inference, stochastic optimization, demand estimation, and experiment design research.

Manage Expedia Group B2B’s partner web roadmap, quarterly planning, capacity modeling, project intake, prioritization, stakeholder communications, and cross-functional execution. Coordinate authoring, development, design, content, creative, engineering, and operations teams while managing a three-person operations team. The role includes coaching, onboarding, performance management, contractor coordination, and presenting roadmap trade-offs to senior leaders.

Lead research, design, and production deployment of large-scale search and recommendation ML systems. Architect multi-modal retrieval and multi-stage ranking pipelines, advance intent understanding and personalization, develop sequential recommenders, design offline/online evaluation (A/B, counterfactual), collaborate with engineering/product teams, and mentor scientists to deliver production-ready AI solutions.

Own the vision, strategy, and roadmap for customer data products supporting personalization, analytics, machine learning, advertising, and partner experiences. Lead high-visibility data and personalization initiatives, translate ML requirements into product specifications, develop cross-domain data flywheels, influence executives, navigate complex organizations, and mentor product managers. The role requires deep data product, architecture, modeling, SQL, and machine learning collaboration experience.

Own paid media measurement operations, including landing page tagging, tracking pixels, campaign parameters, event tracking, governance, and pre-launch quality checks. Troubleshoot platform integrations and data flows, partner with Analytics on reporting and dashboards, validate data quality, and resolve measurement issues with media teams and agencies. Provide limited campaign trafficking support during peak periods.