Discover the possibilities of our progressive, omnichannel approach to beauty retail. At Ulta Beauty, our E-commerce associates sit at the cutting edge of our efforts to reimagine the future of retail. Through a full suite of new and emerging technologies, this team is creating an enhanced buying experience for guests who crave simplicity, choice, personal insights and the joy of discovery. With greater interactivity. Inspired applications of big data, AI and UI/UX. And creative that persuades and delights. All of this, with the opportunity to experience smart ideas come to life. At Ulta Beauty, we’re forever imagining. Forever striving. Forever investing in next-gen—with deep and rich opportunities for ongoing learning, growth and advancement. We encourage you to take control of your career and set your own ceiling. For curious and big-picture thinkers who can flex to the need and who want to stretch themselves through courage and conviction, Ulta Beauty provides an environment perfectly suited to your ambitions. Let’s build brilliant together. THE IMPACT YOU'LL HAVE We’re looking for a passionate and data-driven AI Optimization Specialist to join our Guest Services team. In this individual contributor role, you’ll be responsible for owning the continuous learning, training, and performance optimization of our AI-powered Virtual Advisor – the first point of contact for many of our guests seeking support and Virtual Assistance functions that serve our front-line Specialists. Also applicable are guest-facing self-service functionalities provided across various touchpoints, such as ulta.com, our mobile apps, and via order correspondences. Your mission is to ensure that our Virtual Advisors and automation tools can accurately and efficiently resolve a wide range of guest inquiries across all channels, while delivering an exceptional guest experience in collaboration with internal and external stakeholders. You'll act as the bridge between AI technology and customer service excellence, leveraging analytics, guest feedback, and conversational data to train the system, optimize performance, and increase resolution rates.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed