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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 education

None

Preferred education

Bachelor's Degree

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

1. Core IBM Product Expertise
The candidate should have hands-on experience and/or architectural knowledge of the watsonx platform and legacy Cloud Pak data tools.

• watsonx.ai: Generative AI, foundation models, and tuning (Prompt Engineering, RAG).
• watsonx.data: Lakehouse architecture, Presto, and Iceberg formats.
• watsonx.governance: AI lifecycle management, compliance, and risk mitigation.
• IBM Cloud Pak for Data: Deep understanding of Data Fabric, DataStage (ETL), and Watson Query.

2. Technical Skills & Languages
A modern IBM CSE needs to be technical to solve business problems.

• Languages: Proficiency in Python (specifically for data science libraries like Pandas, Scikit-learn, and PyTorch).
• Data Architecture: Expert knowledge of SQL, NoSQL, and Vector Databases (e.g., Milvus).
• Cloud & Infrastructure: Experience with Red Hat OpenShift (the backbone of IBM’s hybrid cloud) and containerization (Docker/Kubernetes).
• DevOps/MLOps: Understanding the CI/CD pipeline for machine learning models.

3. Solution Architecting & Methodology
It’s not just about knowing the tool; it’s about solving the business problem.

• Proof of Concept (PoC) Leadership: Ability to define success criteria, build a minimum viable product (MVP), and present the value-add to stakeholders.
• Hybrid Cloud Strategy: Understanding how to deploy solutions and IBM tools across AWS, Azure, and On-Prem environments.
• Competitive Intelligence: Knowledge of how IBM stacks up against Snowflake, Databricks, and Microsoft Azure AI.