Customer Success Engineer - Data Platform - AI

Introduction 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 As a Customer Success Engineering: Data Platform - AI professional, you will play a crucial role in ensuring the successful adoption and value realization of AI solutions post-sale. This role involves working closely with clients to deliver solutions and drive value realization, leveraging expertise in AI solutions to drive customer success. Your primary responsibilities will include: • Solution Delivery: Ensuring successful adoption and value realization of AI solutions post-sale, driving customer success through effective solution delivery. • Client Engagement: Collaborating with clients to understand their needs and ensure the AI solutions meet their expectations, fostering a strong client relationship. • Value Realization: Focusing on delivering value to clients through the effective use of AI solutions, ensuring they achieve their desired outcomes. Preferred Education Bachelor's Degree Required Technical And Professional Expertise • AI Solution Delivery: Experience with delivering AI solutions post-sale, ensuring successful adoption and value realization for clients. This involves driving customer success through effective solution delivery and collaboration with clients. • Client Collaboration: Experience working with clients to understand their needs and ensure AI solutions meet their expectations, fostering strong client relationships. • Value Realization: Experience focusing on delivering value to clients through the effective use of AI solutions, ensuring they achieve their desired outcomes. • AI Expertise: Experience with AI solutions, leveraging this expertise to drive customer success and deliver value to clients. • Solution Implementation: Experience with implementing AI solutions, ensuring successful adoption and value realization for clients. Preferred Technical And Professional Experience • Advanced AI Knowledge: Experience with AI solutions, leveraging expertise to drive customer success and deliver value to clients. • Technical Implementation: Experience with implementing AI solutions, ensuring successful adoption and value realization for clients. • Solution Optimization: Experience focusing on delivering value to clients through the effective use of AI solutions.