Technical Product Managers

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. 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. Technical Product Manager III - Machine Learning Engineering

These businesses, sometimes referred to as our 'demand partners', include global financial institutions (e.g. Flight Centre), global travel suppliers (e.g. Translate business requirements into technical specifications for ML infrastructure and data pipeline projects

Coordinate cross-functional efforts to streamline the model development to production pipeline

Manage project timelines, milestones, and deliverables for ML infrastructure initiatives

Gather and analyze user feedback to inform product improvements and new feature development

Support the implementation of best practices for MLOps and CI / CD pipelines for ML model deployment

Assist in resource planning and allocation for ML engineering projects

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

~5+ years of experience in technical product management, preferably in ML or data-intensive domains

~ Experience with Agile methodologies and project management tools (e.g., Jira, Confluence)

~ Familiarity with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes)

~ Understanding of data systems (e.g., Spark, Kafka, Airflow, Data Lakes) and ML model serving technologies

~ Proven track record of delivering complex technical products or infrastructure projects

~ Ability to prioritize and manage multiple projects simultaneously in a fast-paced environment

~ Passion for ML and data technologies and their business applications