AI Ecosystem Research Intern

Red Hat, LLC

Boston (MA)

On-site

USD 18,000 - 33,000

Full time

5 days ago
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Benefits offered by this job

Mentorship

Job summary

Red Hat, a leader in open source software, seeks a motivated student intern to conduct interviews with partners, map AI use cases, and synthesize findings for leadership. You will explore how customers adopt AI using Red Hat technologies and partner ecosystems.

You will gain mentorship from AI, partner, and GTM leaders, with exposure to enterprise AI landscapes and strategic recommendations that influence real business outcomes.

Qualifications

  • Pursuing a related bachelor's degree with expected graduation after Dec 2027.
  • Strong analytical and research skills with the ability to synthesize qualitative and quantitative input.
  • Interest in AI/ML technologies and enterprise tech trends.
  • Excellent communication, interviewing, and insights presentation skills.
  • Self-starter mindset with curiosity, adaptability, and collaboration.

Responsibilities

  • Conduct interviews with Red Hat partners, solution architects, and field sales teams.
  • Analyze and synthesize findings to identify patterns, opportunities, and gaps in AI adoption.
  • Map customer needs to Red Hat’s AI platform, open source technologies, and partner ecosystem capabilities.
  • Recommend partner engagement strategies and motions that complement existing GTM efforts.
  • Prepare and present a final report with recommendations to AI Ecosystem leadership.

Skills

Analytical skills
Interviewing
Communication
Collaboration

Education

Bachelor’s degree pursuit in CS/DS/Business

Tools

Open source familiarity
Red Hat solutions familiarity

Job description

Red Hat, a leader in open source software, seeks a motivated student intern to conduct interviews with partners, map AI use cases, and synthesize findings for leadership. You will explore how customers adopt AI using Red Hat technologies and partner ecosystems.

You will gain mentorship from AI, partner, and GTM leaders, with exposure to enterprise AI landscapes and strategic recommendations that influence real business outcomes.

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