Customer Experience Associate
Pubblicato il 23-09-2026 - NABIS in Modena
About Nabis
Nabis is the #1 licensed cannabis wholesale platform in the world, supplying $1B+ worth of cannabis products annually from hundreds of brands to retailers across California, New York, and Nevada. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation.Through modern, scalable infrastructure, our mission is to empower the world to discover cannabis by providing choice, access, and innovation.
We’re at the forefront of this movement, building an innovative, technology-first platform to scale the entire cannabis industry. Backed by Y Combinator and investors, including DoorDash Co-Founder Stanley Tang, NFL Hall of Famer Joe Montana, Gmail creator Paul Buchheit, and Twitch co-founder Justin Kan, Nabis is rapidly expanding across the U.S. with the goal of becoming the largest and most influential cannabis distribution network globally.
About the Role
We are looking for a Customer Experience Associate to join our growing CX team in a fully remote capacity. In this role,
you will serve as a frontline point of contact for Nabis’ brand and retail partners, delivering responsive, high-quality support across digital and voice channels. You will work within a structured, SaaS-supported operations environment handling inbound inquiries, order-related issues, account escalations, and cross-functional coordination — all in service of an exceptional partner experience.
The ideal candidate brings prior experience in a B2B customer service, account support, or operations role within a SaaS, logistics, distribution, or marketplace environment. You are a clear communicator, a skilled problem-solver, and someone who takes ownership of partner outcomes with a sense of urgency and professionalism.
Responsibilities
Partner Support & Communication
Serve as a primary point of contact for inbound partner inquiries via email, phone, and chat, ensuring timely, accurate, and professional responses
Manage high-volume, multi-channel queues