IBM
Customer Success Manager - Entry Level Sales Program 2026
A Customer Success Manager Architect (CSM) focused on Artificial Intelligence (AI) in IBM means a career where you're helping clients fully realize the value of their existing AI products, whilst growing their adoption of next-generation technologies from across IBM's wider portfolio. Preferring to 'show' vs. 'tell' we're looking for recent college graduates who want to combine their technical interests and education with the people skills needed to architect technical solutions, co-creating with customers, partners, and colleagues to solve technical and business challenges. Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of a team, you'll be surrounded by leaders and colleagues who are always willing to help and be helped – as you support pilots that compel clients to invest in IBM's products and services. Role and Responsibilities Understanding Client's Data and AI Challenges and Building Trust: Understand clients' primary Data and AI challenges and establish yourself as a trusted technical expert for their migration, deployment, and adoption of AI and Hybrid Cloud offerings. Facilitating Use Case Exploration and Business Framing: Lead use case exploration and business framing workshops, develop client value realization models. Developing AI Solutions: Using your Data and AI engineering skills to code/ build MVPs using python, open-source frameworks, RedHat and IBM watsonx. Leading Persuasive Technical Conversations: Lead technical discussions that persuade clients to act based on their requirements and the value provided by IBM's solutions. Creating Post-Deployment Customer Success Plans: Develop customer success plans aimed at continually increasing active user adoption of IBM's products. Qualifications Preferred Education Bachelor's Degree Required Experience Technical Education: B.S./M.S. in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or equivalent technical degree/experience. Programming Language: Experience with Python notebooks. AI Skills: Academic Experience in Machine Learning, Deep Learning, Large Language Models. Understanding of model fine-tuning and in-context learning (choosing when to prompt-engineer vs. train) as part of the LLM lifecycle. Basic knowledge of specialized Agentic AI frameworks: LangChain, LlamaIndex. Basic knowledge of Deep Learning Frameworks: PyTorch, TensorFlow (including Keras), Hugging Face transformers. Client Focused: Asks open-ended questions and understands needs to address business challenges. Tech Savvy: Conversant about technology, latest industry trends and how it is being applied to address business challenges. Team Player: Demonstrates team collaboration and can navigate different communication styles. Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential. Self-Motivation and Problem-Solving Aptitude: A natural inclination toward self-motivation and initiative, in addition to the ability to navigate data and people to find answers and present solutions. Highly Desirable Familiarity with agile development methodologies. Knowledge of AI and data governance. Knowledge of generative AI architectures such as RAG, chatbots. Experience with RedHat OpenShift and Kubernetes. Location and Travel This position requires you to be in one of the following IBM offices: Atlanta GA, Austin, TX, Boston MA, Chicago IL, Dallas TX, New York NY, Raleigh NC, San Francisco CA, and Washington DC. Approximately 25% travel may be required in this role, based on client needs and needs of the business. Visa Sponsorship IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. EEO Statement 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, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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A Customer Success Manager Architect (CSM) focused on Artificial Intelligence (AI) in IBM means a career where you're helping clients fully realize the value of their existing AI products, whilst growing their adoption of next-generation technologies from across IBM's wider portfolio. Preferring to 'show' vs. 'tell' we're looking for recent college graduates who want to combine their technical interests and education with the people skills needed to architect technical solutions, co-creating with customers, partners, and colleagues to solve technical and business challenges. Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of a team, you'll be surrounded by leaders and colleagues who are always willing to help and be helped – as you support pilots that compel clients to invest in IBM's products and services. Role and Responsibilities Understanding Client's Data and AI Challenges and Building Trust: Understand clients' primary Data and AI challenges and establish yourself as a trusted technical expert for their migration, deployment, and adoption of AI and Hybrid Cloud offerings. Facilitating Use Case Exploration and Business Framing: Lead use case exploration and business framing workshops, develop client value realization models. Developing AI Solutions: Using your Data and AI engineering skills to code/ build MVPs using python, open-source frameworks, RedHat and IBM watsonx. Leading Persuasive Technical Conversations: Lead technical discussions that persuade clients to act based on their requirements and the value provided by IBM's solutions. Creating Post-Deployment Customer Success Plans: Develop customer success plans aimed at continually increasing active user adoption of IBM's products. Qualifications Preferred Education Bachelor's Degree Required Experience Technical Education: B.S./M.S. in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or equivalent technical degree/experience. Programming Language: Experience with Python notebooks. AI Skills: Academic Experience in Machine Learning, Deep Learning, Large Language Models. Understanding of model fine-tuning and in-context learning (choosing when to prompt-engineer vs. train) as part of the LLM lifecycle. Basic knowledge of specialized Agentic AI frameworks: LangChain, LlamaIndex. Basic knowledge of Deep Learning Frameworks: PyTorch, TensorFlow (including Keras), Hugging Face transformers. Client Focused: Asks open-ended questions and understands needs to address business challenges. Tech Savvy: Conversant about technology, latest industry trends and how it is being applied to address business challenges. Team Player: Demonstrates team collaboration and can navigate different communication styles. Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential. Self-Motivation and Problem-Solving Aptitude: A natural inclination toward self-motivation and initiative, in addition to the ability to navigate data and people to find answers and present solutions. Highly Desirable Familiarity with agile development methodologies. Knowledge of AI and data governance. Knowledge of generative AI architectures such as RAG, chatbots. Experience with RedHat OpenShift and Kubernetes. Location and Travel This position requires you to be in one of the following IBM offices: Atlanta GA, Austin, TX, Boston MA, Chicago IL, Dallas TX, New York NY, Raleigh NC, San Francisco CA, and Washington DC. Approximately 25% travel may be required in this role, based on client needs and needs of the business. Visa Sponsorship IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. EEO Statement 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, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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