Project Manager Intern - Entry Level Sales Program 2027

About the role

As an AI Technical co-op, you will specialize in computer science, software development, and/or data science to help IBM partners deploy and adopt IBM’s software portfolio. You will work closely with partners, product managers, and development teams to understand partner business requirements and implement solutions that address complex business challenges with IBM software products, with a primary focus on watsonx offerings.

With a hands-on approach to installing, coding, demonstrations, and communicating, you will showcase IBM solutions as a product subject matter expert. You will design and articulate architectures compatible with a partner’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 partners 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.

Responsibilities

• Understand an IBM Partner’s technical needs and establish yourself as a trusted technical expert for their migration, deployment, and adoption of IBM’s AI and Hybrid Cloud offerings.
• Develop AI Solutions: Use your engineering skills to code/build MVPs using Python, open-source frameworks, RedHat, and the IBM product portfolio (training provided). Package solution demos as assets on a portal created specifically for engaging partners through a digital channel.
• Lead persuasive technical conversations that encourage partners to act based on their requirements and the value provided by IBM’s solutions.
• Perform hands-on engineering activities to install, develop, train, deploy, configure, and run the latest IBM AI technologies in a partner’s development or production environment.
• Contribute to use case exploration and business framing workshops, and develop client value realization models.

Requirements

• Confidence to contact and engage with a partner’s product engineering team and deliver an elevated experience in technical discussions around IBM AI products and their value.
• 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.

Qualifications

• 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 applied to address business challenges.
• Hands-on development skills using Python, LLMs, and popular GenAI programming frameworks.
• Team player: Demonstrates team collaboration and can navigate different communication styles.
• Excellent communication skills: Possesses 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, with the ability to navigate data and people to find answers and present solutions.

Skills

• Experience with RedHat OpenShift and Kubernetes.
• Familiarity with user experience design using software applications.
• Experience with Machine Learning, Deep Learning, and Large Language Models.
• Experience with Generative AI and applications that use Text2SQL and Retrieval Augmented Generation (RAG).
• Experience with AI Operations.
• Experience with Data Engineering techniques and Lakehouse technologies (e.g., Spark, Presto, Hive).
• Knowledge of Unix, including software installs.