Introduction
Join IBM's AI product organization and help bring cutting-edge artificial intelligence offerings to market. As a Technical Product Management Intern, Artificial Intelligence Foundation, you will work alongside experienced product managers, engineers, designers, and customers to shape how AI technologies become real-world offerings. You will gain end-to-end exposure to the technical product management lifecycle within a portfolio that spans machine learning, generative AI, and enterprise AI solutions, all in a collaborative environment that bridges business strategy and transformative technology.
Your role and responsibilities
As a Technical Product Management Intern, Artificial Intelligence Foundation, you will support detailed direction on key technical and marketing tasks to launch an offering feature, offering, or collection of offerings. You will contribute to key outcome metrics, while developing hands-on product management expertise at enterprise scale.Your primary responsibilities will include:
- Drive Offering Development: Collaborate with development leaders, product architects, product designers, and key customers to package features into offering releases, ensuring offering designs reflect business objectives.
- Deliver Customer Validation: Drive customer validation through beta programs and client meetings, confirming requirements are addressed by the delivered solution and analyzing feedback to identify potential gaps or opportunities.
- Manage Offering Delivery: Drive cross-functional collaborative efforts to meet offering schedule commitments, and actively manage the plan of delivery including associated risks.
- Showcase Offering Capabilities: Demonstrate offering capabilities and value proposition to external stakeholders, including customers, partners, leaders and analysts.
- Develop Digital Assets: Work with development and marketing to deliver digital assets in support of always-on marketing and digital engagement, such as interactive demos and trials/evaluations.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- Business Foundations: Enrollment in an MBA program with a concentration in product management, strategy, marketing, or a related field.
- AI Familiarity: Working knowledge of the AI solution landscape, including machine learning and generative AI concepts, sufficient to discuss them credibly with technical teams and customers.
- Analytical Skills: Experience conducting market, competitive, or financial analysis and translating findings into actionable recommendations.
- Cross-Functional Collaboration: Demonstrated ability to work effectively with engineering, design, and marketing teams.
- Communication: Strong written and verbal communication skills, including experience presenting to stakeholders.
Preferred technical and professional experience
- AI/ML Exposure: Coursework, projects, or prior internship experience involving AI/ML products or data-driven decision making
- Product Management Exposure: Familiarity with agile development practices, product lifecycle management, or prior product-focused work experience
- Industry Knowledge: Exposure to enterprise software, cloud, or AI industries is a plus.