Product Manager Intern

ConstructConnectAtlanta, GA
Hybrid

About The Position

ConstructConnect is seeking a curious, driven Product Management Intern to join our Product Management team. In this role, you'll get hands-on exposure to how we build customer-facing software products — from discovery and research all the way through execution and launch support. You'll work alongside experienced Product Managers and cross-functional partners to learn how we use data, customer feedback, and agile practices to make smart product decisions. If you're interested in a career at the intersection of technology, business strategy, and customer experience, this is an excellent opportunity to build foundational skills and see how great products get made.

Requirements

  • Currently enrolled in a Bachelor's degree program in Business, Computer Science, Information Systems, Data Science, or a related field
  • High attention to detail and comfort doing careful, methodical review work
  • Strong analytical thinking -- you notice patterns and ask good questions about what you're seeing
  • Excellent written communication skills -- you can document findings clearly and consistently
  • Curiosity about how AI and machine learning products are built and improved
  • Comfort working in a fast-paced environment where the work is sometimes ambiguous
  • Proficiency with common business tools (Microsoft Office / Teams, Excel)
  • Sound business ethics, including the protection of proprietary and confidential information
  • All team members must reside and perform their work within the United States.

Responsibilities

  • Review and label specification document pages to build high-quality training and evaluation datasets for machine learning models
  • Assess model outputs against source documents to identify errors, gaps, and edge cases
  • Help develop and apply annotation guidelines that drive consistency across the dataset
  • Organize and maintain structured records of reviewed documents, findings, and quality metrics
  • Contribute to evaluating model performance improvements over time as training iterations progress
  • Assist with analysis of extraction results to surface patterns and inform model improvement priorities
  • Help research manufacturer naming conventions, industry terminology, and document formats to support annotation accuracy
  • Participate in research and benchmarking activities that inform how we measure success
  • Work alongside product managers and get exposure to how product decisions get made in a software company
  • Work alongside data scientists and get exposure to how machine learning models are built, evaluated, and improved in a real product context
  • Participate in team meetings and learn how technical work connects to customer and business outcomes
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