Product Manager Intern supporting AI enterprise automation products. Work with product, engineering, and design teams on discovery, requirements, and feature launches.
Salary not listed
HybridEntry levelProduct Management
About the role
What You'll Do
Support product discovery efforts through customer research, competitive analysis, and market insights.
Partner with engineers and designers to define product requirements and user experiences.
Help translate customer needs into product specifications and user stories.
Analyze product usage data and customer feedback to identify opportunities for improvement.
Participate in roadmap planning, sprint ceremonies, and cross-functional product discussions.
Assist with feature launches, documentation, and go-to-market planning.
Research emerging AI technologies and evaluate their potential application to enterprise workflows.
Take ownership of a project or product area and present recommendations to company leadership.
What We're Looking For
Currently pursuing a Bachelor's, Master's, or MBA degree in Computer Science, Engineering, Business, Economics, Human-Computer Interaction, or a related field.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Curiosity about AI, enterprise software, and technology products.
Ability to break down ambiguous problems and think systematically.
Comfort working in a fast-paced startup environment.
Strong organizational skills and attention to detail.
A collaborative mindset and willingness to learn.
Nice to Have
Prior internship experience in product management, consulting, software engineering, design, or a related field.
Experience conducting user research or analyzing data.
Familiarity with AI, SaaS products, or enterprise software.
Technical background or ability to communicate effectively with engineers.
What You'll Learn
How AI-native products are designed, built, and launched.
Product strategy and roadmap development.
Customer discovery and user research techniques.
Working cross-functionally with engineering, design, and go-to-market teams.
Startup execution, prioritization, and decision-making.
The fundamentals of building enterprise-grade software products.
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