Customer Success Manager AI - Entry Level Sales Program 2025

October 29, 2024

Description

Introduction

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.

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Your Role and Responsibilities

A Customer Success Manager AI role in IBM has unique attributes. In addition to the people skills often associated with this position, this AI CSM role is specialized in data science, generative AI, and large language models. You will work closely with customers, product managers, and development teams to understand client business requirements and implement AI solutions that address complex business challenges.

With a hands-on approach to coding, demonstrations and clear communication, you will be able to showcase IBM Ai solutions. You will design and articulate AI architectures compatible with a client's technology stack via use-case identification, solution architecture design, and MVP (minimal viable product) builds.

With technical expertise and a consultative style, you'll quickly build credibility as a trusted advisor at all levels with customers and IBM colleagues. To drive expansion and renewal growth, you'll guide leading enterprise companies through AI approaches that realize the full value of expanding their adoption of watsonx.

Your primary responsibilities will include, but not be limited to:

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.

To be successful in this role, you will need:

Confidence to contact and engage potential new customers and deliver an elevated experience.
A desire to continually learn new technologies and how to apply their value in a client environment.
Motivation to achieve technical objectives and high client satisfaction.
Embrace curiosity and a growth mindset.

You may work with any of the following technologies: Analytics, Artificial Intelligence, IT Automation, Cloud, Security, Sustainability.

This position requires you to be in one of the following IBM offices: Atlanta GA, Boston MA, Chicago IL, Dallas TX, New York NY, Raleigh NC, San Francisco CA, and Washington DC.

Readiness to travel up to 20% annually.

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.

Required Technical and Professional Expertise

Technical Education: B.S./M.S. in Computer Science, Artificial Intelligince, Data Science, Engineering, Information Systems, or equivalent technical degree/experience.
Programming Language: Experience with Python, notebooks.
AI Skills: Experience in Machine Learning, Deep Learning, Large Language Models.
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.

Preferred Technical and Professional Expertise

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.