Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you ll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Principal Product Manager, Communications & Intelligence Introduction to the Team: Expedia Group is seeking a Principal Product Manager, Comms & Intelligence to lead strategy and execution for the capabilities that make our customer communications smarter, more personalized, and more measurable. This role sits at the intersection of CRM, marketing technology, and applied AI owning how we turn customer data into better-targeted, better-timed, and better-performing communications across email, push, SMS, in-product, transactional, and emerging channels. As an individual contributor at the Principal level, you will act as the senior technical and strategic voice for data- and AI-driven communications, partnering closely with Product, Engineering, Data Science, Marketing, Analytics, Legal, and Privacy teams to shape outcomes across the broader CRM and Communications portfolio. In this Role You Will: Define the product vision and roadmap for communications intelligence — audience insights, personalization models, channel/send-time optimization, and performance measurement. Drive the evolution of customer data signals (behavioral, transactional, engagement) into actionable inputs for journey orchestration and targeting. Partner with Data Science and Engineering to build and scale models for personalization, propensity, and next-best-message/channel decisioning. Own the measurement and experimentation framework that quantifies communication effectiveness and informs prioritization. Drive responsible use of AI/ML in communications, balancing automation, personalization, and customer trust and compliance. Act as a technical and strategic escalation point for cross-team tradeoffs involving data quality, identity, consent, and model performance. Align senior stakeholders around priorities, risks, and measurable engagement and business outcomes. Mentor other Product Managers on data-informed product craft and analytical rigor, without formal management authority. Minimum Qualifications: Bachelor’s degree with 12 years of industry product management experience, or a master’s degree with 10 years of experience, or equivalent professional experience. Significant product management experience, including senior or lead individual-contributor work spanning data, analytics, or AI-driven products. Experience in CRM, customer engagement, marketing technology, or communications/messaging products. Strong understanding of customer data, personalization, experimentation, attribution, and privacy/consent frameworks. Technical fluency across APIs, data models, ML/AI concepts, and platform architecture. Strong executive communication and stakeholder-influence skills — able to lead through data-backed persuasion rather than formal authority. Track record of using data and experimentation to drive measurable improvements in customer engagement outcomes. Preferred Qualifications: Experience defining and scaling communications intelligence capabilities across multiple channels, including audience insights, journey orchestration, personalization, send-time optimization, and next-best-message or channel decisioning. Depth in experimentation design, attribution, measurement strategy, and data-driven prioritization for customer engagement products. Experience partnering with Data Science and Engineering to apply AI/ML models to real-world personalization, propensity, targeting, or communication optimization products. Demonstrated leadership in responsible AI/ML adoption, including operationalizing model performance, data quality, identity, privacy, consent, and customer trust considerations. Track record of aligning Product, Engineering, Data Science, Marketing, Analytics, Legal, and Privacy stakeholders around complex tradeoffs and measurable business outcomes. The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, 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 $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, 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 careers.expediagroup.com . 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 expedia.service-now.com 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 careers.expediagroup.com . 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.

Requirements

Must-haves

Principal Product Manager, Communications & Intelligence
Define the product vision and roadmap for communications intelligence — audience insights, personalization models, channel/send-time optimization, and performance measurement.
Drive the evolution of customer data signals (behavioral, transactional, engagement) into actionable inputs for journey orchestration and targeting.
Partner with Data Science and Engineering to build and scale models for personalization, propensity, and next-best-message/channel decisioning.
Own the measurement and experimentation framework that quantifies communication effectiveness and informs prioritization.
Drive responsible use of AI/ML in communications, balancing automation, personalization, and customer trust and compliance.
Act as a technical and strategic escalation point for cross-team tradeoffs involving data quality, identity, consent, and model performance.
Align senior stakeholders around priorities, risks, and measurable engagement and business outcomes.
Mentor other Product Managers on data-informed product craft and analytical rigor, without formal management authority.
Bachelor’s degree with 12 years of industry product management experience, or a master’s degree with 10 years of experience, or equivalent professional experience.
Significant product management experience, including senior or lead individual-contributor work spanning data, analytics, or AI-driven products.
Experience in CRM, customer engagement, marketing technology, or communications/messaging products.
Strong understanding of customer data, personalization, experimentation, attribution, and privacy/consent frameworks.
Technical fluency across APIs, data models, ML/AI concepts, and platform architecture.
Strong executive communication and stakeholder-influence skills — able to lead through data-backed persuasion rather than formal authority.
Track record of using data and experimentation to drive measurable improvements in customer engagement outcomes.

Nice-to-haves

Depth in experimentation design, attribution, measurement strategy, and data-driven prioritization for customer engagement products.
Experience partnering with Data Science and Engineering to apply AI/ML models to real-world personalization, propensity, targeting, or communication optimization products.
Demonstrated leadership in responsible AI/ML adoption, including operationalizing model performance, data quality, identity, privacy, consent, and customer trust considerations.
Track record of aligning Product, Engineering, Data Science, Marketing, Analytics, Legal, and Privacy stakeholders around complex tradeoffs and measurable business outcomes.
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.

Application prep

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Keywords to mirror

aiml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness