Expedia Group

Machine Learning Engineer

• Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
• Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
• Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
• Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
• Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
• Collaborate closely with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
• Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
• Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction

Machine Learning Scientist II

• Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
• Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
• Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
• Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
• Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
• Collaborate closely with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
• Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
• Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction
• Mentor junior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology

Senior Machine Learning Scientist – Agentic Experience

Chief Marketing Officer

• Shape Brand Expedia’s value proposition and blueprint, inclusive of messaging hierarchies and implementation toolkits, ensuring consistent language and brand expression across marketing, product, partner, and service touchpoints.
• Drive the rollout of visual identity systems and retail toolkits that bring the brand blueprint to life across channels, in close partnership with creative, brand design, and cross-functional stakeholders.
• Own the strategy and execution of retail and commercial campaigns, including global sales, regional limited-time offers, product and commercial launches, and always-on messaging.
• Build global integrated campaign plans and messaging frameworks that help Expedia respond quickly to market opportunities, seasonal retail moments, launch needs, and evolving business priorities.
• Lead loyalty and CRM motions for Expedia One Key and broader lifecycle marketing, simplifying positioning and messaging while improving member engagement, comprehension, and repeat behavior through integrated marketing and CRM planning.
• Partner cross-functionally with Product, Merchandising, TEaL, Legal, regional markets, and channel owners to align messaging, creative development, campaign readiness, and business outcomes.
• Use data, testing, and performance insights to optimize campaigns and scale repeatable ways of working across commercial and lifecycle marketing programs.
• Lead and develop a high-performing team, balancing strategic leadership with hands-on direction in a fast-moving, highly matrixed environment.

Director, Integrated Marketing

Program Manager

• Support the end-to-end delivery of assigned Learning & Enablement programs
• Coordinate project plans, training calendars, and implementation schedules
• Track project milestones, task completion, risks, dependencies, and mitigation plans
• Maintain program and project documentation, meeting notes, action logs
• Partner with subject matter experts and senior team members to gather requirements
• Coordinate, deliver, and document internal training programs
• Support the collection, analysis, and reporting of training and performance data
• Build productive working relationships with internal stakeholders, operations partners, and vendor teams
• Lead smaller projects or workstreams under guidance

Learning Enablement Program Manager

Art Director

• Lead and shape end-to-end traveler experiences across Vrbo’s shopping, discovery, and booking journeys.
• Define and drive an organization-level experience vision and strategy, aligning teams around customer needs, business outcomes, and measurable success metrics.
• Operate as a player-coach, balancing strategic leadership with hands-on involvement.
• Lead, coach, and develop senior managers and lead-level ICs.
• Influence strategic roadmap discussions, framing problems clearly and synthesizing qualitative and quantitative insights.
• Ensure excellence in craft and execution by diving into critical workflows and reviewing details.
• Evolve and scale design systems and shared frameworks, ensuring consistency, speed, and coherence across products.

Director, Product Design

Marketing Operations

• Manage environment strategy including sandbox vs. production configurations
• Maintain comprehensive platform documentation and communications
• Serve as the escalation point for highly complex platform issues
• Manage support operations for Salesforce Marketing Cloud
• Partner with Data Engineering and CRM teams for data flows
• Own technical decisions and design on data models, field mappings, event structures, and API usage
• Monitor and centrally track technical issues
• Help develop the end-to-end migration playbook to SFMC
• Implement and design scalable technical solutions and automation
• Own the technical aspects of deliverability management
• Monitor and maintain platform health metrics

Manager, Marketing Technology – Integrations

• Own and maintain global naming standards, program structures, folder hierarchies, and asset organization patterns for all marketing channels.
• Develop and maintain a library of modular, reusable assets including journey blueprints, automation workflows, data filters, and content blocks; partner with design and development to build standardized email templates.
• Create and enforce scalable processes and blueprints to enable efficient execution including QA checklists, testing protocols, launch readiness checklists, and quality standards for campaign launches and automation workflows.
• Partner with stakeholders to evolve standards based on real-world usage and feedback, balancing flexibility with governance; regularly review adoption and friction points, to refine the operating model.
• Serve as the central owner for all Marketing Operations training and enablement on all Marketing Operations owned channels.
• Create comprehensive enablement materials including migration training, how-to guides, quick-reference documentation, and troubleshooting resources, for both standard execution and new capabilities, enabling Marketing Operations teams to self-serve.
• Own the operating model for external agency support used for channel production, including process design, handoff rules, improvement opportunities, and effectiveness of the support model.
• Lead the evaluation, business case development, and proof-of-concept for new marketing channels.
• Define reference architectures (data flows, integrations requirements, technical architecture) and implementation patterns for each channel, ensuring consistency and scalability across platforms and teams.
• Own the operational rollout strategy for new channels once technical patterns are proven, including phased implementation plans, success criteria, adoption metrics, and rollout readiness.
• Serve as an internal consultant to teams on automation strategy and operating model design, helping them think through how to best leverage platform capabilities for their specific business needs.
• Contribute and communicate the Marketing Operations martech roadmap, including channel capabilities, platform feature adoption, and tool evaluations.
• Partner with capability teams and Senior Manager to manage vendor relationships and contribute to RFPs for new channel tools.
• Establish and monitor baseline email and channel performance metrics (open rates, engagement rates, deliverability benchmarks), identifying trends and improvement opportunities.
• Define governance frameworks for platform usage including access controls, approval workflows, and compliance requirements, suggesting needs for improvements in process and enablement.

Manager, Marketing Technology – Enablement

Product Manager

• Identify high-impact traveler and partner problems that can be unlocked by AI, and frame them as clear, testable product bets.
• Rapidly prototype end‑to‑end AI experiences using available LLMs and tools (e.g., prompt design, tool/function calling, retrieval, simple UIs) to validate value and feasibility.
• Evaluate new capabilities from frontier labs and internal platforms, and translate them into concrete product concepts, demos, and proof‑of‑concepts.
• Partner closely with engineering, data science, and design to take successful prototypes to production, including instrumentation, experimentation, guardrails, and ongoing quality improvements.
• Define reusable patterns and primitives (e.g., explanations, preview/approve/undo flows, context continuity) that can be adopted across teams and surfaces.
• Establish clear success metrics and experimentation plans for AI features, and use data and user feedback to guide iteration and prioritization.
• Communicate clearly with senior leaders and cross‑functional partners, bringing structure and clarity to ambiguous technical and product spaces.
• Share learnings, playbooks, and best practices so that prototyping and AI‑first thinking become part of how product teams across Expedia Group operate.

Principal Product Manager, AI Builder Experiences

• Define Expedia Group’s AI evaluation framework, principles, and adoption strategy
• Build tools and workflows that support reliable, scalable measurement across brands
• Partner with engineering and data science on metric design, instrumentation, and model evaluation
• Establish clear, durable standards for accuracy, safety, transparency, and performance
• Publish evaluation insights, scorecards, and recommendations that shape roadmaps
• Influence strategic decisions on AI investments and risk management
• Drive alignment across product, engineering, data science, and platform teams on evaluation strategy, standards, and prioritization
• Create governance models that ensure consistency and responsible deployment at scale
• Shape cross-team operating models and evaluation practices that guide how AI products are built and deployed across the company

Principal Product Manager, Agentic Evals

Artificial Intelligence

• Define and execute the scientific roadmap for the company’s most critical asset, the Search and Recommendation stack.
• Drive the shift from classical ranking to next-generation, AI-native discovery experiences using the latest AI breakthroughs.
• Act as the primary counterpart to senior Product and Engineering leadership, determining how centralized ranking capabilities can unlock new marketplace opportunities.
• Own the high-level architectural decision-making for search ranking and recommendations, integrating the latest AI into our production stack.
• Champion a strategy to move from fragmented models to large-scale Ranking Foundation Models and orchestrate the distillation of this intelligence into efficient models.
• Manage and mentor a large, multi-disciplinary organization of Applied Scientists and ML Leaders, fostering a culture that bridges research and product deployment.
• 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

Account Executive

• Coaches and supports customers to be more successful on the company's platform
• Assists in creating opportunities to build customer account
• Develops understanding of customer’s business issues
• Recommends products, services, and insights that meet customer needs
• Completes basic account plans to maintain business
• Develops awareness of policies, practices, trends, and information impacting the organization
• Guides accounts to valuable insights and presents solutions
• Conducts straightforward cost, benefit, and risk analyses
• Identifies key stakeholders in decision making
• Develops understanding of standard offerings and major areas of expertise
• Attends meetings with customers to understand needs and expectations

Associate Account Manager

• Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
• Design and analyze tests to validate your models and quantify their business impact and design future iterations.
• Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

Machine Learning Scientist III

Compliance

• Manage daily activities and requirements of the B2B Risk and Compliance Program related to third-party partnerships (e.g., compliance-related inquiries, assessments and attestations).
• Support partner audits, including coordination of planning and logistics of partner audits.
• Help manage the B2B component of the EG Enterprise Risk Management program, including maintenance of the risk register for B2B risks, coordination with risk teams across EG, and other risk management activities as assigned.
• Plan, scope and execute risk assessments and/or audit projects of the B2B business.
• Develop, implement, and manage new ways of monitoring compliance with EG’s contractual obligations to our partners, including tooling, maintenance, and oversight.
• Partner with business owners to develop and execute procedures to detect and prevent non-compliance and mitigate various types of risk, including operational, regulatory, and reputational risk.
• Review and analyze various business practices against existing policies and procedures to suggest improvements to address changes to business practices.
• Ensure that new partner agreements are driven to completion while ensuring that EG’s compliance obligations are achieved.
• Track solutions and follows up with control owners on compliance-related actions and management of internal controls.
• Communicate across various levels of the organization; influence partners and senior leaders with audience-appropriate messages and relevant information.
• Contribute to cross team collaboration and leads alignment of work with broader initiatives.

Manager, Risk & Compliance

Business Analyst

• handle modeling forecasts, discovering insights and finding opportunities through statistical, data mining and visualization techniques
• collaborating with internal partners and transverse teams to analyze forecast variances
• understanding and mitigating variance drivers
• finding opportunities to improve operational efficiencies
• delivering against high organizational standards
• supervising and tracking the results of recommendations
• presenting results back to the business in a structured, data-driven manner

Senior Analyst, Business Workforce Solutions

Strategy

• Recognize and frame strategic opportunities for Expedia B2B
• Collaborating with key functional leaders, corporate, HR and finance
• Lead business, product and tech, strategy and commercial integration of companies
• Work with third party suppliers for the execution of the integration
• Drive decision-making and alignment by working across E4B and Expedia Group
• Lead strategic projects and lead investigations to drive the business forward