Product Management Intern – AI Products

Position Summary

We are seeking a curious, analytical, and execution-oriented Product Management Intern to support the development and adoption of AI-enabled products and workflow automation initiatives across the organization.

Key Responsibilities

• Partner with Product, Operations, Technology, and business teams to identify and evaluate opportunities where AI can simplify complex workflows, improve user experiences, or increase operational efficiency.
• Gather, analyze, and document business and user requirements for AI-enabled products, workflow automations, and internal tools.
• Translate business needs into product requirements documents, user stories, acceptance criteria, process maps, and prioritized backlogs.
• Support the discovery, design, prototyping, testing, and rollout of AI product concepts, including proof-of-concept solutions and dashboards.
• Conduct user research, stakeholder interviews, and workflow analysis to understand pain points, validate assumptions, and define measurable outcomes.
• Contribute to AI initiatives across multiple products and business lines.
• Develop frameworks and scorecards for measuring AI product success, including adoption, accuracy, time savings, quality, user satisfaction, and business impact.
• Auxiliary in defining MVP scope, prioritizing features, evaluating trade-offs, and maintaining clear product roadmaps and delivery plans.
• Cook up with cross-functional stakeholders to track milestones, dependencies, risks, decisions, and action items.
• Support product testing by documenting test scenarios, gathering feedback, identifying issues, and validating that solutions meet user and business requirements.
• Research emerging AI capabilities, product management practices, and relevant market trends, and summarize practical implications for the organization.
• Prepare clear presentations, product updates, recommendations, and demonstrations for business and senior leadership audiences.
• Maintain product documentation, decision logs, implementation materials, and user guidance to support successful adoption.
• Apply responsible AI principles by considering data quality, privacy, security, transparency, human oversight, and potential business risks throughout the product lifecycle.

Qualifications

• Currently enrolled in an undergraduate or graduate program in Product Management, Business, Information Systems, Computer Science, Engineering, Data Science, Human-Computer Interaction, or a related field.
• Demonstrated interest in AI-enabled products, automation, digital platforms, or technology-driven business transformation.
• Foundational understanding of product management practices, including customer discovery, requirements gathering, user stories, prioritization, MVP definition, and product metrics.
• Strong analytical and structured problem-solving skills, with the ability to break down ambiguous business challenges.
• Excellent written and verbal communication skills, including the ability to explain technical or complex concepts clearly to non-technical audiences.
• Strong organizational skills and attention to detail, with the ability to manage multiple workstreams and follow through on commitments.
• Comfort working independently and collaboratively in a fast-paced, cross-functional, and geographically distributed environment.
• Proficiency with Microsoft 365 productivity tools or comparable collaboration, presentation, and data-analysis platforms.

Preferred Qualifications

• Previous internship, academic, or project experience in product management, software development, business analysis, consulting, operations, or UX research.
• Experience creating product requirements, business cases, user journeys, wireframes, prototypes, dashboards, or process documentation.
• Familiarity with generative AI, large language models, prompt design, AI agents, retrieval-based applications, or machine-learning product concepts.
• Experience with low-code or no-code automation and prototyping tools.
• Exposure to agile delivery methods, product analytics, experimentation, A/B testing, or data visualization.
• Interest in regulated, data-intensive, financial, sustainability, energy, or environmental markets.