At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.
When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

WHAT YOU SHOULD KNOW ABOUT THIS TEAM

• This team uses AI/ML research and development services for all product lines.
• This team builds core machine learning infrastructure and services.
• You will get the opportunity to work with other teams, and projects on a regular basis.
• The scale of the problems we are solving means your impact will scale as well.

WHY WE HAVE THIS ROLE

• We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level through AI Agent.
• Our goal is to extend our Experience Management capabilities into “close the loop” and personal concierge use cases - powered by Experience Agent.
• You should love building simple solutions to solve hard customer problems.
• Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

THINGS YOU’LL DO

• Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
• Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
• Attend daily stand-up meetings, collaborate with your peers, prioritize features
• Work with a sense of urgency to deliver value to your customers
• Finding quick ways to prototype and test possible solutions to large problems