EverPro - AI Platform Internship (Remote, US)

EverCommerce
1d$20 - $20Remote

About The Position

At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries. We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://www.evercommerce.com/about-us/careers/ We are currently seeking rising junior and senior students to apply for our internship program. This is a great opportunity for individuals looking to gain hands-on experience and contribute to meaningful projects. We are looking for an AI Platform Intern to join our EverPro AI team. This role offers an exciting opportunity to collaborate closely with our EverPro AI and various EverPro Product teams to support the company-wide intern program, improve EverPro AI Team processes, collaborate with Product Leadership functions to create documentation and participate in ad hoc Agentic projects. This role sits at the intersection of user research, AI strategy, and platform product management, helping shape the next generation of reusable AI capabilities across a portfolio of SaaS products. The AI Platform Management Intern will translate user needs, competitive intelligence, and data insights into scalable agentic and tooling solutions that power intelligent experiences across the business.

Requirements

  • High level of attention to detail/accuracy.
  • Exercise discretion and good judgment and maintain confidentiality when handling sensitive information.
  • Positive attitude approaching any task no matter how big/small.
  • Approaches projects with creativity and is willing to think outside of the box.
  • Effective communication skills, both written and verbal, with the ability to present complex information in a clear and concise manner.
  • Proactive, self-motivated, and able to work both independently and collaboratively in a fast-paced environment.
  • Willing to travel for Denver, Colorado for the intern kickoff week and possibly the Intern executive presentations.
  • Rising juniors and seniors pursuing a bachelor’s degree from an accredited university.
  • Applicants to be currently authorized to work in the United States on a full-time basis from June to August 2026.
  • Must be willing to commit to a 10-week internship I the Summer of 2026 (June-August) on a full-time basis.
  • Enthusiastic about technology and committed to professional development.
  • Good written and verbal communication skills.
  • Willing to learn and collaborate with your teammates.

Responsibilities

  • Conduct qualitative and quantitative research to understand user needs, workflows, and pain points across multiple SaaS products in the portfolio, with a focus on opportunities for AI-driven automation and intelligence.
  • Analyze competitive products and the broader AI landscape within our industry to identify patterns, gaps, and emerging best practices relevant to agentic and platform-based AI solutions.
  • Partner with Product and Engineering leaders to inventory and assess available first-party data (e.g., customer, usage, operational, and behavioral data) that can be leveraged to train models and generate user-facing insights.
  • Synthesize insights from user research, competitive analysis, and data exploration into clear opportunity areas for reusable AI agents, tools, and platform capabilities.
  • Develop concept briefs, workflows, and problem statements for AI-powered solutions that can be delivered through our centralized AI platform and agentic architecture.
  • Support prioritization discussions by evaluating opportunities based on user value, scalability across the portfolio, data readiness, and feasibility.
  • Document findings and recommendations in clear, executive-ready formats to inform AI roadmap planning and platform investment decisions.
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