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Senior Manager, Software Development Engineering

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia Group
Full Time position
Listed on 2026-06-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Manager, Software Development Engineering (Fraud & Risk)

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and employees. A unified platform powered by data and machine learning delivers secure, differentiated, and personalized experiences that drive loyalty and tourist satisfaction.

At Expedia Group Fraud & Risk (EFR), we protect the company from financial loss and brand damage, securing every channel for our customers, partners, suppliers, and employees. Our world-class engineering and machine learning teams transform massive, noisy signals into real-time decisions that minimize risk while keeping traveler friction low.

In This Role, You Will
  • Own your team’s platform architecture, design and delivery of solutions for automated risk decisioning and remediation.
  • Hold a high bar for technical operations, establishing clear SLOs, observability, and safety/rollback mechanisms for your team’s software.
  • Lead the integration of Generative and Agentic AI into fraud detection workflows, simplifying and modernizing the platform while reducing time to detect and mitigate attacks.
  • Advocate for the use of AI to improve engineering processes, productivity and the SDLC.
  • Partner closely with engineering teams and Data Science/ML Scientists on features, experimentation, monitoring and delivery.
  • Partner with Product and Operations teams to translate functional requirements into technical specifications.
  • Build highly productive and ambitious teams while helping engineers reach their career aspirations.
Minimum Qualifications
  • 9+ years of software engineering, with 2+ years in an engineering leadership role.
  • Strong background in distributed, cloud-native engineering at scale (AWS, GCP, or Azure), microservices and API-driven design.
  • Experience with SQL/No

    SQL databases and data streaming/processing technology (Kafka, Flink, Spark).
  • Prior experience coding in one or more of Java, Scala, Go, Python.
  • Demonstrable experience guiding teams to achieve excellence in technical operations.
  • Familiarity with ML-integrated systems, working with Data/ML Science partners to deliver product features.
  • Passionate about mentorship, coaching and helping engineers with career growth.
Preferred Qualifications
  • Proven experience building and operating fraud and risk systems in production, or other similarly ML/AI heavy systems.
  • Track record reducing manual operations via automation and platform simplification.
  • Experience with RAG-based architectures, LLMs and multi-agent applications.
Salary and Compensation

The total cash range for this position in Seattle is $ to $. Employees in this role can increase their pay up to $, based on ongoing, demonstrated and sustained performance.

Benefits

Employees receive a comprehensive benefits package that includes medical, dental and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent membership.

Accommodation Requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request link.

Equal Opportunity Employer

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.

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Position Requirements
10+ Years work experience
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