No information about remote work conditions has been provided for this job.
Type of contract for this position: Internship
The position
Job description
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
Working closely with the SVP, Strategic Projects and cross-functional partners, the intern will help identify high-value use cases, translate business needs into clear product requirements, support rapid prototyping, and measure the impact of AI-powered solutions
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
Assist with defining MVP scope, prioritizing features, evaluating trade-offs, and maintaining clear product roadmaps and delivery plans
Coordinate 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
What Success Looks Like
High-value AI and automation opportunities are clearly defined, prioritized, and connected to measurable business outcomes
Product requirements and user stories are clear, actionable, and grounded in stakeholder and user needs
Prototypes and product concepts are tested efficiently, with feedback incorporated into practical recommendations
Cross-functional teams have clear visibility into scope, progress, risks, decisions, and next steps
AI product initiatives are supported by meaningful success metrics and a thoughtful approach to responsible use
Benefits
Medical, dental, vision
100% company paid life insurance
401(k) plan
Annual bonus program
Stock options
Discretionary paid time off
Paid parental leave
Preferred experience
Excellent written and verbal communication skills, including the ability to explain technical or complex concepts clearly to non-technical audiences
Strong analytical and structured problem-solving skills, with the ability to break down ambiguous business challenges
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
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
Foundational understanding of product management practices, including customer discovery, requirements gathering, user stories, prioritization, MVP definition, and product metrics
This internship is ideal for a student who is interested in the intersection of product management, artificial intelligence, business operations, and user experience
Proficiency with Microsoft 365 productivity tools or comparable collaboration, presentation, and data-analysis platforms
Demonstrated interest in AI-enabled products, automation, digital platforms, or technology-driven business transformation
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