IBM
Customer Success Manager - Entry Level Sales Program 2026
IBM, Dallas, Texas, United States, 75215
Customer Success Manager - Entry Level Sales Program 2026
A Customer Success Manager Architect focused on Artificial Intelligence (AI) at IBM helps clients realize the full value of their current AI products while driving adoption of next‑generation technologies across IBM’s portfolio. This entry‑level program is designed for recent college graduates who combine technical interests with interpersonal skills to architect solutions and co‑create value with customers and partners.
Your Role and Responsibilities The AI CSM role blends data science, generative AI, and large language models with a consultative style to support enterprise customers. Your primary responsibilities include, but are not limited to:
Understand clients’ data and AI challenges and establish yourself as a trusted technical expert for migration, deployment, and adoption of AI and Hybrid Cloud offerings.
Lead use case exploration and business framing workshops, developing client value‑realization models.
Build MVPs using Python and open‑source frameworks, Red Hat and IBM watsonx.
Lead persuasive technical conversations that persuade clients to adopt IBM solutions.
Create post‑deployment customer success plans aimed at increasing active user adoption.
Qualifications Required Education
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or an equivalent technical degree.
Required Experience
Technical Education: B.S./M.S. in Computer Science, AI, Data Science, Engineering, IT, or equivalent.
Programming: Experience with Python notebooks.
AI Skills: Academic experience in Machine Learning, Deep Learning, Large Language Models.
Model lifecycle: Understanding of model fine‑tuning, in‑context learning, and prompt‑engineering.
Knowledge of specialised Agentic AI frameworks: LangChain, LlamaIndex; Deep Learning Frameworks: PyTorch, TensorFlow, Keras, Hugging Face transformers.
Client‑focused: Ability to ask open‑ended questions and address business challenges.
Tech savvy and team player with excellent verbal, written, and interpersonal communication skills.
Self‑motivation and problem‑solving aptitude.
Highly Desirable
Familiarity with agile development methodologies.
Knowledge of AI and data governance.
Experience with generative AI architectures (RAG, chatbots).
Experience with Red Hat OpenShift and Kubernetes.
Other Details
Work location: IBM offices in Atlanta GA, Austin TX, Boston MA, Chicago IL, Dallas TX, New York NY, Raleigh NC, San Francisco CA, and Washington DC.
Travel: Approximately 25 % travel may be required.
Visa: IBM will not provide visa sponsorship; candidates must be able to work without future sponsorship.
EEO Statement: IBM is an equal‑opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Your Role and Responsibilities The AI CSM role blends data science, generative AI, and large language models with a consultative style to support enterprise customers. Your primary responsibilities include, but are not limited to:
Understand clients’ data and AI challenges and establish yourself as a trusted technical expert for migration, deployment, and adoption of AI and Hybrid Cloud offerings.
Lead use case exploration and business framing workshops, developing client value‑realization models.
Build MVPs using Python and open‑source frameworks, Red Hat and IBM watsonx.
Lead persuasive technical conversations that persuade clients to adopt IBM solutions.
Create post‑deployment customer success plans aimed at increasing active user adoption.
Qualifications Required Education
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or an equivalent technical degree.
Required Experience
Technical Education: B.S./M.S. in Computer Science, AI, Data Science, Engineering, IT, or equivalent.
Programming: Experience with Python notebooks.
AI Skills: Academic experience in Machine Learning, Deep Learning, Large Language Models.
Model lifecycle: Understanding of model fine‑tuning, in‑context learning, and prompt‑engineering.
Knowledge of specialised Agentic AI frameworks: LangChain, LlamaIndex; Deep Learning Frameworks: PyTorch, TensorFlow, Keras, Hugging Face transformers.
Client‑focused: Ability to ask open‑ended questions and address business challenges.
Tech savvy and team player with excellent verbal, written, and interpersonal communication skills.
Self‑motivation and problem‑solving aptitude.
Highly Desirable
Familiarity with agile development methodologies.
Knowledge of AI and data governance.
Experience with generative AI architectures (RAG, chatbots).
Experience with Red Hat OpenShift and Kubernetes.
Other Details
Work location: IBM offices in Atlanta GA, Austin TX, Boston MA, Chicago IL, Dallas TX, New York NY, Raleigh NC, San Francisco CA, and Washington DC.
Travel: Approximately 25 % travel may be required.
Visa: IBM will not provide visa sponsorship; candidates must be able to work without future sponsorship.
EEO Statement: IBM is an equal‑opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.
#J-18808-Ljbffr