In this role, you will contribute to the technical strategy and architecture for the AI empowered Loyalty charter, developing and delivering next generation, intelligent engagement experiences powered by modern AI and agentic systems. You will contribute to system design across multiple distributed engineering teams, partnering closely with Product, Data Science, and platform leaders to build scalable, reliable, and innovative solutions.
In this role, you will
Design, build, and evolve client facing experiences and full stack services for global loyalty products, ensuring high availability, scalability, and performance across multiple customer and partner touchpoints.
Own the design and evolution of embeddable placements that other internal teams integrate into their own surfaces, including versioning, backward compatibility, and safe staged rollout across a wide range of host environments.
Lead end to end system design across the full stack, from low level design and API design to data modeling, with particular depth on browser side architecture such as cross domain communication, sandboxing, script size and performance budgets, and privacy and consent constraints.
Drive technical strategy negotiating clear technical contracts, ownership boundaries, and integration points in situations where the team does not have direct authority over the placement.
Own complex full stack features from technical design through implementation, testing, deployment, and operational support, with a front end leaning bias while remaining equally comfortable owning backend services and data models when needed.
Collaborate with product, design, partner engineering teams, and platform leaders to translate loyalty product requirements into technical solutions that work within the real constraints of third party or partner owned placements, making pragmatic trade offs using data and customer impact.
Safely integrate and operate AI and ML enabled personalization, experimentation, or optimization capabilities within client side surfaces, accounting for the added complexity of operating inside surfaces the team does not fully control.
Mentor engineers and set technical direction for this class of embedded, cross team, and partner surface problems, contributing patterns, tooling, and best practices that make these challenges easier to solve consistently across the loyalty ecosystem.
Minimum Qualifications
Bachelor’s degree in Computer Science or a related technical field, or equivalent related professional experience.
8+ years of relevant professional experience.
Professional software development experience building and operating full stack services, including hands on work with RESTful APIs, data models, and web applications.
Proven experience owning design and implementation for services or features within a multi service or domain environment, including accountability for quality, reliability, and operational readiness.
Strong proficiency in at least one modern programming language and associated frameworks, with the ability to design, review, and debug complex, distributed systems.
Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Preferred Qualifications
Experience building and shipping client-side SDKs, tags, or embeddable widgets that run inside surfaces or applications owned by other teams or external partners, such as ad serving, tag management, analytics, or personalization SDKs.
Strong front end engineering depth in React and TypeScript, including performance optimization for latency sensitive, high traffic consumer surfaces, paired with working proficiency in backend services using Java or Node in cloud native environments.
Experience negotiating technical integration contracts with partner or platform teams who own the surface or placement, including defining clear ownership boundaries, service levels, and fallback behavior when a partner surface changes unexpectedly.
Familiarity with ad tech concepts, user targeting, and experimentation, with the ability to apply that experience to loyalty and personalization use cases.
Hands on experience integrating and operating AI or ML enabled capabilities in production, including use of developer AI tools such as Claude, GitHub Copilot, and Cursor to improve productivity, code quality, personalization, and automation outcomes.
The total cash range for this position in San Jose is $199,000.00 to $278,500.00. Employees in this role have the potential to increase their pay up to $318,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
