Product Manager Spring Co-op 2027
IBM
San Jose, CAFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Product managementREST APIsMachine learningAgileStakeholder management
- Nice to have
- Data visualization
- Work
- On-site in San Jose
- Pay
- Not stated by the employer.
- Skill demand
- Product management66%Agile23%REST APIs10%Machine learning7%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
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About the Role
This is a 16-week Co-Op position designed for actively enrolled undergraduate students interested in gaining hands-on, practical experience. The role involves contributing to real IBM projects.
Your Role And Responsibilities
- Support product strategy, roadmap planning, and prioritization.
- Translate technical concepts (e.g., APIs, ML models, data flows) into clear user stories.
- Collaborate with cross-functional teams to build and refine features.
- Use analytics and user feedback to assess product performance.
- Apply responsible and ethical AI practices.
- Participate in Agile ceremonies, research activities, and design reviews.
- Communicate updates and findings to stakeholders.
Requirements & Tech Stack
- Must be actively enrolled in a Bachelor's degree program at the time of application and returning to complete the degree after the co-op.
- Available to start full-time between December 2027 and August 2028.
- Available to work full-time (40 hours/week) at an IBM location for 16 weeks between Jan 19 - May 7.
- Co-op requires a full-time commitment; students should not be enrolled in concurrent coursework during the co-op term.
- Understanding of product management principles and user-centered thinking.
- Familiarity with AI/ML concepts or data workflows through coursework or projects.
- Experience with Agile practices and collaborative work environments.
- Ability to analyze data and communicate insights clearly.
- Strong communication, organization, and problem-solving skills.
Preferred Technical And Professional Experience
- Exposure to product analytics or data visualization tools.
- Coursework or projects related to AI, data, or software engineering.
- Familiarity with responsible AI or ethics frameworks.