Customer Success Manager Co-op : 2025 Sales Program

Introduction

As a Customer Success AI Technical Co-Op, you will specialize in computer science / software development and / or data science to help clients deploy and adopt IBM’s software portfolio. You will work closely with customers, product managers, and development teams to understand client business requirements and implement solutions that address complex business challenges with IBM software products.

With a hands-on approach to installing, coding, demonstrations and communicating, you will be able to showcase IBM solutions as a product SME. You will design and articulate 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 their IBM investments.

Your role and responsibilities

As a Customer Success AI Technical co-op, you will specialize in computer science / software development and / or data science to help clients deploy and adopt IBM’s software portfolio. You will work closely with customers, product managers, and development teams to understand client business requirements and implement solutions that address complex business challenges with IBM software products.

With a hands-on approach to installing, coding, demonstrations and communicating, you will be able to showcase IBM solutions as a product SME. You will design and articulate 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 their IBM investments.

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

Understanding Client's technical needs : Understand clients' primary needs and establish yourself as a trusted technical expert for their migration, deployment, and adoption of IBM’s 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 engineering skills to code / build MVPs using python, open source frameworks, RedHat and IBM product portfolio (will learn on the job).

Leading Persuasive Technical Conversations : Lead technical discussions that persuade clients to act based on their requirements and the value provided by IBM's solutions.

Deploying and Developing Enterprise Applications : Performing hands-on engineering activities to install, develop, train, deploy, configure and run latest IBM AI technologies in client enviornment.

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.

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.

This job can be performed from anywhere in the US.

Required technical and professional expertise

Technical Education : Future B.S. or M.S. degree in Computer Science, Data Science, Engineering, Information Systems, or equivalent technical degree / experience.

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 experience

Experience with RedHat OpenShift and Kubernetes.

Familiar with user experience design using software applications

Experience with Machine Learning, Deep Learning and Large Language Models

Experience with AI Operations

Experience with Data Engineering technigues and technologies Preferred : Apache Spark

Experience with Generative AI & Retrieval Augmented Generation applications.

Knowledge with Unix including software installs