Hiring: Principal Product Manager, Data Products Company: Expedia Group Location: Austin, TX Job Posted Time: 2026-09-11 11:57:31 Employment Type: On-site Target Skills & Keywords : Kafka, Kinesis, LLM, Machine Learning, Product Management, SQL About the job Experience: •12+ years of product management experience with a Bachelor’s, or 10+ years with a Master’s, including significant time building data platforms or data products Qualifications: •Bachelor’s degree in a technical field (e.g., Engineering, Computer Science, Statistics, Applied Math) or equivalent practical experience •Direct, hands-on experience building data products intended for machine learning training — including granular event-level or sub-entity datasets with the dimensionality and history required for model development •Demonstrated experience partnering with machine learning scientists as a primary customer, and the technical fluency to speak their language and understand how the data will be consumed by models •In-depth knowledge of data architecture, data modeling, and modern data technologies, with the technical depth to write and decompose SQL and engage directly with pipelines and systems when needed •Track record of operating at Principal scope: moving between major problems, leading ambiguous initiatives, and shaping outcomes without a fixed team beneath you •Proven executive presence and communication skills — comfortable representing complex data work in front of senior executives and translating it for non-technical audiences •Applied hands-on capability in real-time data systems, APIs, and streaming platforms (e.g., Kafka, Kinesis) •Prior experience in travel, e-commerce, marketplaces, or another high-scale consumer domain where personalization and predictive intelligence are core to the business •The total cash range for this position in Austin 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. Compensation: •$224,000 - $313,500 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!