Intern QMS Product Management

Major accountabilities:

• Build simple AI/GenAI applications (e.g., chat assistants, document tools) using Python and low-code platforms like Copilot Studio

• Experiment with automation tools to identify and prototype practical use cases, iterating quickly based on feedback

• Prepare and process data for NLP tasks such as text classification, entity extraction, and semantic search

• Assist in configuring and testing GenAI workflows, including RAG-style integrations with internal knowledge sources

• Contribute to automation solutions using Microsoft tools (Copilot Studio, Power Platform, etc.)

• Organize and structure information, prompts, and knowledge sources to enable effective AI usage

• Run evaluations for AI solutions, collect metrics and user feedback, and support continuous improvement

• Write clean, maintainable Python code, use Git, and follow team development and review practices

• Collaborate with engineers, data scientists, and domain experts while actively participating in team discussions and demos

• Document solution designs, experiments, issues, and recommendations, ensuring knowledge is reusable across the team

Key performance indicators:

• Roadmap & Delivery Tracking: Maintain accurate roadmap visibility and provide timely status reporting for 100% of assigned initiatives.
• Stakeholder & User Engagement: Analyze user feedback and stakeholder inputs to support prioritization and roadmap decisions.
• Process Improvement & Governance: Identify and implement 2-3 improvements in product tracking, documentation, intake, or prioritization processes.
• Cross-Functional Collaboration: Support project coordination, stakeholder alignment, and communication to ensure key deliverables and milestones remain on track.