Customer Success Technical Architect
Pubblicato il 13-08-2026 - Ibm in Milano
At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact. Success in Global Sales is built on curiosity, empathy, and collaboration. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world‑class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference.
Your Role And Responsibilities
Confluent is searching for a Customer Success Technical Architect (CSTA) to act as a trusted technical advisor and advocate to work with our customers. The primary objective of this role is to ensure the success,
retention & expansion of our customers by providing technical guidance, including best practices, for the Confluent product suite. You will partner with others in Customer Solutions as well as cross‑functional divisions such as Sales, Product Management and Engineering to help our customers accelerate time to value, maximize product consumption and achieve their overall business objectives.
The CSTA role is both deeply technical and commercial in nature. You will leverage a technical background (e.g. AppDev, SysAdmin, Distributed Computing) to advise customers on their architectures, including patterns & strategies for operating and maturing their Confluent subscription. You will also utilize relationship management skills & industry experience to guide the customer on how they can best achieve their business goals and value‑based outcomes via their Confluent investment.
In this role, you will have the opportunity to build broad experience with Kafka, Flin