Expedia Group

Product Designer

• Lead the end-to-end vision, strategy, and UX design execution for AI-driven incubation projects
• Explore, define, and prototype novel AI-powered product experiences
• Design and iterate conceptual, visual, and interaction patterns that evolve the Expedia brand experience
• Produce tangible prototypes and experiments to evaluate ideas with users and stakeholders
• Collaborate closely with a small cross-functional incubation team to transform early concepts into higher-fidelity experiences
• Synthesize and communicate key insights, learnings, and design directions through compelling storytelling

Principal Product Designer – AI Incubation Lab

Machine Learning Engineer

• Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems, translating ambiguous opportunities into scalable models, experiments, and production-ready capabilities
• Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration, with strong attention to measurable impact
• Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows, including system design, API design, and data modeling considerations where applicable
• Use strong technical judgment to select appropriate methods, validate outcomes, and improve model performance, reliability, and operational quality across multiple problem domains
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products
• Contribute deep technical expertise across related domains, helping raise scientific and engineering quality through experimentation, documentation, mentoring, and reusable approaches that support broader team effectiveness

Senior Machine Learning Scientist – Personalization

Product Manager

• Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business priorities and platform adoption goals.
• Partner closely with engineering, data science, and cross-functional stakeholders to translate complex platform and customer needs into clear product requirements, prioritized backlogs, and actionable deliverables.
• Drive adoption and usability of internal AI platform tools and workflows, ensuring they effectively meet user needs and scale across teams.
• Lead product development across the lifecycle—from concept through launch and iteration—balancing technical feasibility, user experience, and operational effectiveness.
• Use data, experimentation, and stakeholder feedback to evaluate performance, inform prioritization decisions, and continuously improve product outcomes.
• Contribute to shaping scalable, reliable, and secure AI/ML platform capabilities, including workflow automation, productivity tools, and model-enabled systems.
• Collaborate across multiple technical domains, navigating ambiguity and evolving priorities to deliver incremental value while supporting longer-term platform vision.
• Communicate clearly and effectively, translating complex technical concepts into compelling product narratives for both technical and non-technical audiences.

Product Manager III, GenAI & ML Platform

Program Manager

• Design and execute cross-MCS operational programs
• Operate and continuously improve the MCS leadership operating cadence
• Build and maintain metrics, dashboards, and clear narratives
• Proactively identify and mitigate risks
• Drive operational hygiene and change execution
• Support cross-org learning and engagement programs

Program Manager III

AI Research Scientist

• 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

Machine Learning Scientist II – Whole Trip AI

• Define and execute the Partner Payments product strategy and roadmap
• Design and optimize Partner Payments onboarding and opt-in experiences
• Partner with Finance, Payments Operations, and platform teams to streamline cash operations
• Translate strategy into clear product opportunities and requirements
• Drive alignment and execution with engineering and design
• Prioritize product initiatives using a data-informed approach

Product Manager III, Payments

Financial Planning and Analysis

• Implement best practices and own Oracle Cloud Financial Accounting Hub (FAH) configuration for the next-generation accounting platform
• Partner with product, engineering & accounting teams to deliver new platform capabilities
• Design, develop, and deliver functional processes for eCommerce financial integrations
• Own new features from design to production release
• Support development and execution of rollout strategies, transition plans, end-user training, and documentation

Oracle Cloud Financial Functional Consultant – III

Manager

• Build and maintain relationships with the customer account team
• Support the development of opportunities to grow the customer account
• Recommend products and services that meet customer needs
• Perform cost-benefit and risk analyses of potential solutions

Market Manager

Full-stack Engineer

• Own current OIC + Oracle Financial Gateway implementation: assess health, optimize performance, and ensure production stability.
• Define the roadmap for extending the platform to cover new transactional accounting use‑cases
• Collaborate with finance SMEs, data‑engineers, and product owners to capture functional requirements and translate them into integration patterns.
• Set standards for integration design, testing, monitoring, and documentation across the finance PaaS stack.
• Mentor junior engineers and act as the go‑to oracle‑PaaS subject matter expert within the broader engineering org.
• Build observability & operability— logging, monitoring, alerting, and reconciliation/completeness checks; partner with operations on runbooks and supportability.

Senior Software Development Engineer, Oracle PaaS

Director

• Act as the primary strategic interface for the Integrated Marketing & Creative organization, serving as the dedicated global lead for all brand media and sponsorship initiatives.
• Collaborate cross-functionally to design, implement, and govern the interaction process between Integrated Marketing, Brands and execution teams, ensuring consistency, compliance, and agility.
• Lead high-visibility brand and partner projects, driving alignment across internal stakeholders and external agencies to ensure effective delivery.
• Champion innovative ideas and approaches to evolve internal communication frameworks, guiding hybrid in-house digital teams and external agencies towards optimal media strategy, integrated media plans, data-driven learning agendas and mobilizing insights & optimization outputs to drive efficiency and pre agreed brand measurement framework KPIs.
• Own the distribution and communication of all brand media and sponsorship briefs, ensuring clarity of vision and objectives.
• Manage the development and delivery of key outputs, including strategic approaches, rationale documentation, holistic media plans, and post-campaign reports.
• Apply analytical rigor and a scientific mindset to produce evidence-based proposals, rationale, and learning agendas to drive impact.
• Work with Planning, Agency, and Execution Leads to coordinate responses to briefs, ensuring all outputs align with the agreed strategic business goals and integrated marketing team deliverables.
• Collaborate with Integrated Marketing & Creative teams to ensure media, sponsorship, and creative strategies are aligned, defining asset requirements and delivery timelines.
• Be accountable for brand-specific media and sponsorship finance decisions and P&L management, ensuring financial rigor, transparency, and managing the allocation of capital across markets, channels, and geographies based on measurement outputs, corporate guidance and Brand GM requests.
• Drive brand business targets and lead comprehensive reporting activities, including Monthly and Quarterly Business Reviews (MBRs/QBRs) and other key performance forums.
• Synthesize market-specific schematics and reports into global views, analyzing learnings to provide actionable insights that inform future planning and capital allocation.

Media Business Director

• Collaborate closely with ML Scientists to productize and scale ML models, from experimentation to robust production systems
• Design, build, and own large-scale, distributed machine learning systems for training, deployment, inference, and monitoring
• Lead design discussions and architecture reviews; drive high-impact engineering decisions for ML platforms and applications
• Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality
• Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle
• Proactively identify areas for improvement in model performance, pipeline efficiency, data quality, or platform capabilities
• Ensure scalability, observability, and fault-tolerance across all components of the ML stack
• Promote engineering excellence by advocating for best practices in testing, CI/CD, infrastructure-as-code, and monitoring
• Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams to align solutions with business goals
• Stay up to date on advancements in MLOps, ML frameworks, distributed systems, and apply learnings to improve systems and processes

Senior Machine Learning Engineer

• Own the P&L: Manages part of the P&L for the Package and Multi-item trips business units
• Drive Business Performance: Dives deep into inputs and understands the downstream impact of changes to pricing, marketing, product to Package and Attach performance
• Support the Expedia Leadership Team: Delivers comprehensive views on overall business performance, initiatives and other priorities
• Lead Cross-Functional Collaboration: Develops and implements action plans based on deep-dive analysis of input metrics
• Deliver Results: Identifies areas that need attention and directs team to address issues
• Employ Strategic Thinking and Analysis: Utilize analytical tools (including Tableau) to generate actionable insights

Senior Manager – Multi Item Trips

• Lead the design and implementation of highly scalable and resilient telemetry pipelines for logs, metrics, and traces.
• Spearhead the strategy, rollout, and support for the OpenTelemetry collector across thousands of services.
• Design and build capabilities for data governance, cost allocation, and resource management within the observability platform.
• Act as a thought leader, driving the adoption of observability best practices across the engineering organization.
• Author and maintain production-grade Infrastructure as Code (IaC) using tools like Terraform and/or Crossplane.
• Serve as the final escalation point for complex, cross-cutting production incidents related to the observability platform.
• Explore and utilize a wide variety of technologies and tools, such as Go, Java, Python, AWS, Kubernetes, OpenTelemetry, Prometheus, Grafana, Datadog, and Splunk, Clickhouse.

Principal Software Development Engineer – Observability

Strategy

• Set the strategic agenda for Expedia Lodging (Hotels & Vacation Rentals): define the ambition, key bets, and multi ‑ year roadmap that deliver profitable growth and a differentiated traveler experience
• Own a portfolio of high ‑ impact strategic initiatives across the traveler lifecycle focusing on step ‑ change improvements in conversion, repeat rate, customer satisfaction, and market share
• Lead cross ‑ functional programs end ‑ to ‑ end : frame the problem, size the opportunity, align stakeholders, stand up workstreams, and ensure on ‑ time, high ‑ quality execution across Marketing, Product, Supply, Servicing, Legal, and Finance
• Use data to drive decisions and understand customer needs : partner with Analytics and Data Science to build business cases, design A/B tests, measure impact, and continuously refine the strategy based on performance and customer insights
• Optimize commercial and operational levers across pricing, promotions, merchandising, incentives, and service design to balance growth, margin, and customer experienc e, in order to ensure successful execution towards Expedia’s annual plan
• Shape the traveler and partner experience : identify friction points across the end ‑ to ‑ end journey (search to post ‑ trip), prioritize fixes and enhancements, and work with Product and Operations to deliver scalable solutions
• Drive change and organizational alignment : create clear narratives, materials, and playbooks that help teams understand the strategy, adopt new ways of working, and execute consistently across markets
• Collaborate with regional and local market teams to ensure strategies and initiatives are localized, executable on the ground, and responsive to competitive dynamics

Senior Strategic Initiatives Manager

Growth Marketing

• Partner cross-functionally with marketing and product teams to establish and deliver customer growth goals
• Lead strategies to drive growth and new customer acquisition across priority segments
• Strengthen loyalty and retention by evolving programs and expanding global opportunities
• Define and deliver a best-in-class customer service strategy that supports long-term growth
• Champion customer experience enhancements that improve satisfaction and profitability