Product Management Intern – MVS

Role Overview

• Conduct thorough market research to identify requirements for transit signage hardware and software.
• Leverage advanced AI tools (e.g. natural language processing, machine learning models, generative AI) to gather insights, analyze trends, and predict evolving customer needs.
• Assist in defining and documenting product features and specifications based on research findings.
• Support cross-functional teams by synthesizing research into actionable recommendations and contributing to strategy discussions.
• Deliver a comprehensive report on market opportunities within the transit signage space, detailing gaps and potential growth areas.
• Identify emerging technologies, standards, and competitor offerings relevant to passenger information systems.
• Develop an annotated dataset or knowledge base using AI tools to support informed product decisions.
• Confidently present findings to leadership and product development stakeholders, helping to shape product direction.
• Perform qualitative and quantitative customer research: surveys, interviews, and user feedback collection.
• Utilize AI-driven research platforms (such as ChatGPT, text analytics suites, and custom machine learning classifiers) to unearth information on market segments, competitor products, adoption patterns, and pricing models.
• Summarize and visualize data findings in clear written reports, slide decks, and dashboards.
• Propose suggestions and improvements to Luminator’s product roadmap based on research insights and actionable recommendations.
• Collaborate effectively with product managers, engineers, designers, and marketing teams to execute research tasks and integrate findings into the product development lifecycle.
• Stay up to date with industry trends, signage innovations, and relevant standards (e.g. GTFS, NTCIP) to ensure our solutions remain cutting edge.

Requirements

• Current enrollment in a relevant degree program (Business, Engineering, Computer Science, Human-Computer Interaction, etc.)
• This internship is ideal for a third‑year (junior) college student ready to apply their coursework in a real‑world setting.
• Interest or experience in public transit, transportation technology, or related fields.
• Familiarity with AI tools, basic coding/scripting (Python or R), and data analysis methods.
• Strong communication, organization, and critical thinking skills.
• A proactive attitude, eagerness to learn, and ability to work independently as well as in a team.

Tech Stack

• Python

Benefits

• N/A