Senior Engineering Manager, Loyalty

About the role

The Senior Engineering Manager, Loyalty role is at the intersection of platform engineering, AI innovation, and business growth strategy. You will lead the full-stack team that owns the Incentives platform, working closely with cross-functional partners across product, marketing, and business to scale one of Expedia's most commercially critical systems.

Responsibilities

• Lead, develop, and retain a high-performing engineering team that delivers high-quality loyalty capabilities and services aligned to product and business goals.
• Own end-to-end delivery for key loyalty services and platforms, ensuring system design, low-level design, API design, and data modeling meet performance, security, and reliability expectations.
• Partner closely with Product, Architecture, Data, and other engineering teams to define and execute a technology roadmap for loyalty, balancing near-term delivery with long-term platform evolution.
• Establish and continuously improve engineering best practices, including code quality, CI/CD, observability, incident response, and operational excellence for loyalty systems.
• Drive data-informed decision making for loyalty features and services, using metrics, experimentation, and customer behavior insights to guide prioritization and technical trade-offs.
• Foster a culture of innovation and safety around advanced technologies, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, and safely integrates and operates AI/ML‑enabled solutions that improve outcomes.

Requirements

• Bachelor’s Degree or Equivalent Level; Technical Degree Preferred.
• 8+ years of relevant professional experience and 3+ years of people management experience.
• Experience leading full-stack software engineering teams delivering services and platforms in a complex product ecosystem.
• Proven background in software engineering with strong capabilities in system design (including low-level design), API design, and data modeling for distributed, service-oriented or microservices-based systems.
• Demonstrated ability to manage delivery for multiple concurrent initiatives, aligning engineering execution with product and business priorities across the loyalty domain or an equivalent business capability area.
• Hands-on experience establishing and enforcing engineering standards around code quality, testing, deployment, monitoring, and reliability for production services.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including collaborating with specialized teams to integrate such capabilities into production services.

Qualifications

• Experience building and scaling loyalty, membership, marketing or customer engagement platforms, at high scale and availability.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‑enabled solutions that improve loyalty outcomes, and guiding teams on practical, domain-specific use of these technologies.
• Demonstrated success in leading engineering teams through periods of high growth, change, or complexity.
• Track record of championing data-driven decision making and operational excellence for mission-critical systems.
• A high ownership mindset with a bias for action.

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.

Pay

The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Schedule

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience.

Location

Employees in this role will work remotely, with occasional in-person meetings as needed.