Expedia Group

Program Manager

• Own the end-to-end L&D program portfolio for assigned lines of business and vendors
• Build and run a structured training governance model
• Create and maintain integrated training calendars and project plans
• Design, standardize, and continuously improve PMO ways of working for L&D
• Lead cross-functional training and communication workstreams
• Build and maintain performance and program dashboards
• Cultivate strategic relationships and executive-level governance routines
• Lead and develop a high-performing, inclusive team of L&D professionals
• Champion innovation in program delivery

Learning & Development Program Manager

Product Manager

• Define bold vision and strategy for supply partner experience: Set and execute a compelling vision for next-gen partner experiences across web, mobile web, and native apps
• Innovate through AI-first experiences: Embed AI coaching and insights into partner workflows scaling self-service
• Deliver end-to-end excellence across critical partner journeys: Own and improve key journeys (e.g., onboard new properties, manage rates and inventory, reservations, Payments) with automation, consistency, and high quality
• Use DUET signals and partner feedback to continuously improve
• Lead a high-performing cross-functional team: Inspire and grow product managers. Work with stakeholders across Engineering, XD, security, and analytics

VP, Product Management

• Define the product vision, strategy, and roadmap for Expedia Group’s personal AI agent experiences.
• Identify the highest-value traveler problems where an agent can save time, reduce effort, and take useful action on a customer’s behalf.
• Rapidly evaluate new capabilities from model providers, tooling ecosystems, and internal platforms, and translate them into clear product bets.
• Build scrappy but convincing prototypes using available models, agent frameworks, tools, and lightweight interfaces to test usefulness, trust, and feasibility.
• Partner with engineering, ML, design, and platform teams to turn promising prototypes into scalable product experiences.
• Shape how memory, context, orchestration, permissions, and human handoff should work in a trusted travel companion.
• Define safe patterns for agents that take action, including clear explanations, user approvals, visibility into what the agent is doing, and recovery paths when things go wrong.
• Establish success metrics, launch criteria, and learning loops for these experiences, balancing ambition with trust, reliability, latency, and cost.
• Influence senior leaders and cross-functional teams on where Expedia Group should play, what to build first, and how to stay at the forefront of this space.

Principal Product Manager, Personal AI Agents

Artificial Intelligence

• Develop and execute Expedia Group's AI strategy, balancing short-term and long-term priorities.
• Collaborate with Product, Tech, Analytics, Finance, Marketing, and Supply teams to align AI initiatives with business objectives.
• Lead internal and external AI-related initiatives, including partnerships and productivity projects.
• Monitor AI trends and emerging technologies; identify opportunities for Expedia Group to leverage them.
• Enable domain experts by providing insights, fostering connectivity, and ensuring alignment across strategies.
• Represent Expedia Group in AI-related discussions with partners and at industry events (travel required ~25%).

Director, Strategy – Artificial Intelligence

Data Scientist

• Partner with product teams to clarify business problems, define success metrics, and translate ambiguous questions into structured analytical plans.
• Design, run, and analyze experiments (A/B tests, pre/post, quasi‑experimental reads) to measure impact, quantify trade‑offs, and guide iteration.
• Perform deep‑dive product analysis (funnels, cohorts, segmentation, sizing) to uncover drivers of performance and identify opportunities for growth and customer experience improvements.
• Build reliable datasets and dashboards using SQL and modern BI tools, enabling self‑serve product performance monitoring across platforms (web, app, partner).
• Apply solid statistical thinking (probability, sampling, inference, regression) to ensure reads are robust, distinguish signal from noise, and clearly communicate caveats.
• Use Python/R (or similar) to prototype models and advanced analyses when needed (e.g., regression, clustering, simple prediction) and to automate recurring analytics workflows.
• Tell clear, compelling stories that move stakeholders from insight to action—framing context, methods, results, and recommendations for both technical and non‑technical audiences.
• Champion data quality and reproducibility by following best practices for data validation, query performance, version control, and documentation.
• Collaborate and upskill others by seeking peer review, sharing best practices, and providing light mentorship to more junior analysts or data scientists.

Data Scientist III, Product Analytics

Full-stack Engineer

• Optimize bidding, ranking and pacing for guaranteed and non-guaranteed ad delivery to surface more relevant ads and expand advertiser reach to travelers
• Build and scale systems that support ad serving and ad selection across Expedia Group’s advertising network
• Apply strong software design principles, algorithms, and data structures to build scalable, low-latency, high-throughput services.
• Work closely with Product, ML data scientists and data teams on features such as relevance optimization, targeting, and performance modeling
• Advocate for high-quality code, automated testing, and strong observability practices
• Participate in operational reviews and drive continuous improvement
• Mentor junior engineers, lead design discussions, and help elevate the technical bar of the team

Software Development Engineer III, Advertising Technology

Public Relations

• Support the development and execution of U.S. PR plans, including drafting press releases, pitches, and media materials for Expedia, Hotels.com, and Vrbo.
• Engage regularly with national and regional media across multiple verticals and mediums to secure impactful coverage.
• Help ensure consistent brand presence in consumer and lifestyle media by identifying creative pitch angles, trends, and data-driven insights.
• Collaborate with internal partners to gather story ideas, data, and updates to support media outreach.
• Build, maintain, and update media lists to ensure accurate and relevant contact information.
• Own and maintain an editorial calendar.
• Prepare briefing documents to support internal spokespeople ahead of media interviews.
• Track, analyze, and report on press coverage to evaluate reach, quality, and alignment with brand priorities.
• Assist with press events by contributing ideas, managing media lists and RSVPs, and providing on-site support, including media check-in and post-event recaps.

Public Relations Specialist

Product Marketing

• Lead product marketing for a portfolio of measurement and reporting tools and capabilities, ranging from data clean rooms to audience intent signals
• Develop a deep understanding of our advertisers and partner closely with product and analytics teams
• Define clear problem statements, value propositions, and success metrics for new and existing measurement features
• Create crisp positioning and messaging that differentiates Expedia Group Advertising’s measurement solutions
• Translate complex metrics into advertiser-friendly narratives and proof points
• Own GTM strategy and execution for launches and enhancements

Product Marketing Manager, Advertising

Machine Learning Engineer

• Are you passionate about using machine learning to outsmart fraud and protect travelers without adding friction?
• Would you like to work in the fast-paced, adversarial, high-scale, and data-rich world of online travel risk?
• The Fraud & Risk team plays a pivotal role in safeguarding the company’s finances, thwarting billions of dollars in fraudulent attacks annually.
• Our efforts extend beyond financial security—we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information.
• By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia’s sustained revenue growth possible.
• This is a rare chance to build a simpler, more explainable and adaptive decisioning platform in a live, scaled environment.
• We are looking for a hands-on Principal Machine Learning Scientist to help us build and execute on a high visibility, high-impact vision to dramatically improve our auto-prevention rates, reduce ops queuing, and apply novel techniques using Generative AI to the ever-evolving, adversarial world of fraud.

Principal Machine Learning Scientist – Fraud, Generative AI

• Lead ML for Payments as the technical lead for a focused ML group
• Partner with Product & Payments Engineering to define problems and discover ML opportunities
• Ship production models end-to-end, including problem framing and ongoing monitoring
• Apply binary classification, anomaly detection, and multi-armed bandits
• Implement robust monitoring and model lifecycle hygiene
• Communicate findings and trade-offs to stakeholders

Senior Machine Learning Scientist, Payments

Revenue Operations

• Review advertising contracts and insertion orders to minimize business and financial risks
• Efficiently resolve daily requests for Display and Performance products via a shared Salesforce queue
• Collaborate with impacted teams to resolve revenue related issues
• Perform a comprehensive review of advertising campaigns for billing and revenue recognition
• Resolve issues and complete administrative tasks in Salesforce, Oracle and Adobe Sign
• Provide business review and approvals in a global advertising Order Management System (OMS)
• Triage data and revenue recognition errors related to invoicing
• Be the point of contact for elaborate external contracts
• Drive continuous improvements and define processes for new products
• Complete tax certification to ensure compliance with tax regulations
• Complete audit requests from internal and external auditors
• Lead small to medium size projects and/or provide project support

Senior Revenue Operations Analyst

Product Designer

• Lead and shape end-to-end Vrbo traveler experiences
• Drive ambiguous, high-priority, zero-to-one design programs
• Apply strong interaction, visual, and systems design craft
• Use prototyping as a primary tool to explore ideas
• Partner closely with cross-functional leaders to connect brand, product, and customer needs
• Explore and shape how evolving capabilities inform future traveler journeys

Principal Product Designer

Account Manager

• Develop and maintain a high-quality portfolio of hotel and property products
• Maximize production potential in the marketplace
• Ensure partner hotels’ products are optimized on Expedia Group sites
• Promote hotel partners’ engagement with Expedia Group's tools and insights
• Collaborate with internal stakeholders to execute business initiatives

• Define and execute the scientific roadmap for the company’s most critical asset, the Search and Recommendation stack
• Act as the primary counterpart to senior Product and Engineering leadership
• Own the high-level architectural decision-making for search ranking and recommendations
• Champion a strategy to move from fragmented models to large-scale Ranking Foundation Models
• Manage and mentor a large, multi-disciplinary organization of Applied Scientists and ML Leaders
• Ensure our algorithms optimize for long-term business value while maintaining a healthy ecosystem for our supply partners

Senior Director, ML/AI – Search and Recommendations

• Design and implement end-to-end model pipelines to production across multiple product domains, including ranking, recommendations, search, and personalization
• Develop and maintain scalable data pipelines, data quality checks, and model monitoring to ensure reliability, performance, and responsible behavior of ML systems in production
• Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision-making with data-driven insights
• Use A/B tests and offline/online evaluation frameworks to measure model impact and guide iterative improvement