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Expedia Group

Product Manager, Autonomous Operations

Posted Yesterday
Hybrid
Seattle, WA, USA
173K-299K Annually
Mid level
Hybrid
Seattle, WA, USA
173K-299K Annually
Mid level
Define and evolve product vision and strategy for Autonomous Operations, translating complex problems into actionable product requirements, collaborating with engineering to deliver automation solutions, and incorporating AI/ML capabilities where applicable.
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Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

In this role, you will:

  • Define and evolve the product vision, strategy, and roadmap for Autonomous Operations capabilities that improve reliability, reduce manual intervention, and optimize operational efficiency across Expedia Group’s platforms.

  • Translate complex operational and technical problems into clear product requirements, user stories, and success metrics for engineering, data, and operations partners, ensuring outcomes are measurable and aligned to business goals.

  • Partner closely with engineering to design, validate, and deliver automation products and services, including system design inputs, API contracts, data modeling needs, and integration patterns required for scalable, resilient solutions.

  • Use data-driven insights from monitoring, telemetry, incident patterns, and customer/partner feedback to prioritize a backlog that increases self-healing, proactive detection, and end‑to‑end observability in production environments.

  • Collaborate across multiple domains and platforms (e.g., infrastructure, core services, applications, tooling) to ensure Autonomous Operations capabilities are reusable, extensible, and fungible across different technical and business contexts.

  • Incorporate AI‑driven and ML‑enabled capabilities into Autonomous Operations workflows where appropriate, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, while safely integrating and operating AI/ML‑enabled solutions that improve operational outcomes.

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience in building and delivering technical products.

  • Product management experience driving delivery of platform, infrastructure, or operations-focused products in partnership with software engineering, data, or SRE/operations teams, including defining strategy and roadmaps for AI- or automation-heavy platforms (e.g., agentic SDLC, autonomous supply/management) and translating trust and governance needs into concrete capabilities and metrics.

  • Proven ability to lead complex, cross-functional platform programs spanning multiple teams (e.g., connectivity, platform, content, contracting, analytics), managing piloting and GA phases, and driving adoption with both external partners and internal engineering teams.

  • Strong data- and outcome-driven product management approach, with experience defining and tracking success metrics (such as supply uplift, case reduction, time-to-live, quality scores, PR idle time, AI cost efficiency) and using them to prioritize, iterate, and clearly communicate impact.

  • Demonstrated ability to define product requirements, work with engineering on system and API design trade-offs, and ship iterative releases that improve availability, performance, or operational efficiency in complex technical environments, with familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products within operational or platform contexts.

Preferred Qualifications:

  • Experience leading product strategy for automation, observability, SRE, or operations platforms in large-scale, distributed systems environments, including setting multi‑release roadmaps and aligning multiple teams to shared outcomes.

  • Depth in collaborating with engineering on technical design decisions, including system design, low-level design, API design, and data modeling for high‑reliability, high‑throughput platforms, and driving architectural evolution over time.

  • Demonstrated ability to safely integrate and operate AI/ML‑enabled solutions that improve detection, triage, remediation, or optimization in production operations, including understanding of model lifecycle, guardrails, and monitoring.

  • Strong history of making data-informed product decisions using telemetry, incident and problem-management data, experimentation, and A/B testing to guide investments in autonomous capabilities and continuous improvement.

  • Demonstrated experience taking products from concept to scaled adoption, particularly for technical or platform products used by internal developers, SREs, or operations teams, including driving change management, documentation, and training for new automation and AI‑assisted workflows.

The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

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.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.
HQ

Expedia Group Seattle, Washington, USA Office

1111 Expedia Group Way W., Seattle, WA, United States, 98119

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