**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 Engineer, you will design viable client solutions by leveraging current product capabilities and remove technical inhibitors to sales opportunities. You will work with clients to drive adoption and expansion of IBM products to accelerate client value. Your primary responsibilities will include: - Design Client Solutions: Design viable client solutions by leveraging current product capabilities, removing technical inhibitors to sales opportunities, and creating technical proof points through technical accelerators such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs. - Drive Customer Value: Drive customer value by activating entitlements, finding sponsors, conducting use-case workshops, and establishing measurable business outcomes with client sponsors and stakeholders. - Develop Success Plans: Develop a success plan that describes deployment roadmap(s), milestones, and outcomes with client sponsors and stakeholders, and deeply understand clients' main challenges to become a trusted guide for their modernization and adoption of IBM's technology portfolio. - Deliver Technical Proof Points: Create and deliver technical proof points through technical accelerators to demonstrate the value of IBM products and solutions. - Collaborate with Clients: Work closely with clients to understand their needs, provide technical expertise, and drive adoption and expansion of IBM products. **Required technical and professional expertise** * Technical Solution Design: Experience with designing viable client solutions by leveraging current product capabilities, including creating technical proof points through technical accelerators such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs. * Product Capability Expertise: Experience in leveraging current product capabilities to remove technical inhibitors to sales opportunities and drive adoption and expansion of products. * Technical Accelerator Development: Experience with creating and delivering technical proof points through technical accelerators to demonstrate the value of products and solutions. * Client Solution Deployment: Experience in developing deployment roadmaps, milestones, and outcomes with client sponsors and stakeholders to drive customer value. * Technical Portfolio Understanding: Experience with understanding clients' main challenges and becoming a trusted guide for their modernization and adoption of technology portfolios. **Preferred technical and professional experience** * Serve as the technical authority for IBM's Data Integration and Data Intelligence portfolio-including DataStage, Kafka-based streaming (Confluent), data replication, data quality, governance, and metadata-designing architectures that solve complex hybrid and multi‑cloud data challenges. * Partner with sellers and client success teams to lead technical discovery, solution design, and value mapping, translating business outcomes into scalable data integration and streaming architectures using IBM technologies. * Act as the technical bridge from sale to success, ensuring solution designs transition cleanly into implementation, adoption, and long‑term value realization. * Design and deliver technical enablement for clients through demonstrations, POCs, hands‑on workshops, and architecture reviews, showcasing real‑world use cases such as data modernization, cloud migration, real‑time analytics, and AI‑ready data pipelines. * Apply deep experience with data integration patterns-including batch and streaming ingestion, CDC, event‑driven architectures, data virtualization, and data mesh-across platforms such as Kafka/Confluent, relational databases, cloud object storage, and modern analytics stacks. * Influence product adoption and roadmap alignment by bringing field feedback to IBM product teams, contributing to best practices, reference architectures, and accelerators that improve client outcomes across the Data & AI portfolio. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.