Customer Success Engineer - Databases

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: • Deliver Technical Proof Points: Create and deliver technical proof points through technical accelerators, such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs, to demonstrate the value of IBM products to clients. • Drive Customer Value: Activate entitlements by finding sponsors, conducting use-case workshops, and establishing measurable business outcomes with client sponsors and stakeholders. • Develop Success Plans: Create a success plan that describes deployment roadmap(s), milestones, and outcomes with client sponsors and stakeholders to ensure successful adoption and expansion of IBM products. • Understand Client Challenges: Deeply understand clients' main challenges and become a trusted guide for their modernization and adoption of IBM's technology portfolio. Required technical and professional expertise Technical Solution Design: Exposure to designing viable client solutions by leveraging current product capabilities, removing technical inhibitors to sales opportunities, and creating technical proof points. Product Demonstration: Experience working with technical accelerators, such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs, to demonstrate the value of products to clients. Client Engagement: Exposure to working with clients to drive adoption and expansion of products, including activating entitlements, conducting use-case workshops, and establishing measurable business outcomes. Technical Portfolio Knowledge: Experience working with a technology portfolio, including understanding client challenges and identifying opportunities for modernization and adoption. Solution Development: Exposure to creating success plans, including deployment roadmaps, milestones, and outcomes, to ensure successful adoption and expansion of products. Preferred technical and professional experience Technical expertise across several IBM Data Technologies, including Db2 (LUW, z/OS, and Db2 Warehouse), data warehousing solutions (Netezza, Databricks, Snowflake, etc.), DataStax (Apache Cassandra-based platforms), watsonx.data (Data Lakehouse), and IBM‑OEM’d databases such as Postres/EDB, SingleStore, Cloudera, MongoDb; ability to position these solutions against competing cloud‑native and open‑source alternatives. Pre‑sales and client-facing technical leadership, translating complex customer data architecture, performance, scalability, and governance requirements into well‑designed IBM database and analytics solutions through demos, proofs of value (PoVs), benchmarks, and architecture workshops. Act as the technical bridge from sale to success, ensuring solution designs transition cleanly into implementation, adoption, and long‑term value realization. Hands-on experience with modern data architectures, including hybrid cloud, lakehouse, streaming, and transactional/analytical workloads; strong familiarity with SQL, NoSQL, distributed systems, data virtualization, and performance tuning. Ability to partner effectively with Sales, Product, and Engineering teams, influencing deal strategy, validating fit, mitigating technical risk, and driving successful adoption of IBM Data Platform solutions throughout the client lifecycle. 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. #J-18808-Ljbffr IBM Computing