AI Product Management Intern

Yes EnergyBoulder, CO
2d$19 - $22Hybrid

About The Position

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary Join our Class of 2026 Yes Energy Interns and enjoy the opportunity to work on an exciting, high-impact project focused on delivering customer-facing AI capabilities and the associated product management process. This role will focus on making Yes Energy’s extensive market data products even easier to explore, understand, and use. You will help build the foundation that enables customers to apply AI and natural-language tools directly to our data, accelerating insight generation for both technical and non-technical users. This hands-on role offers exposure to the full product lifecycle, including product planning, technical implementation, go-to-market considerations, and operational ownership as you help shape how this capability is delivered as a new product feature. Position Details Internship Program Period: 6/1/2026 - 8/7/2026 Full-Time; temporary w/ no benefits Hybrid Location: Yes Energy Boulder, CO office Hourly Rate Range: $19.00/hr - 1st year Intern $20.00/hr - 2nd year Intern $21.00/hr - 3rd year Intern $22.00/hr - 4th year Intern Reports to: Director, Data Delivery The intern will learn and be exposed to Hands-on experience in AI product strategy and execution Exposure to real-world AI development and product decision-making Mentorship from experienced product managers, engineers, and data scientists Opportunities to own meaningful projects and present outcomes Project Work Your official project will be tailored to your background and development goals, but will center on semantic views and AI enablement for large, complex datasets. Your work could include: Defining success metrics (e.g., accuracy, adoption, performance) for AI features. Architecting a semantic layer to enable the application of AI and natural-language tools directly to our data. Executing feature testing, tracking success metrics, and iterating on the solution. Developing documentation and plans for ongoing operational ownership (O&M) and go-to-market considerations for the new capability. Presenting project findings and recommendations to product and leadership teams.

Requirements

  • Ability to translate complex technical concepts into clear business language
  • Interest in AI, machine learning, and data-driven product development
  • Strong analytical, research, and organizational skills
  • Problem-solving and critical thinking
  • Ability to prioritize based on opportunities and effectively multitask
  • Detail oriented
  • Excellent interpersonal and communication skills
  • A strong desire to learn, grow, and explore new things
  • Strong understanding of Google Suite for Business or MS Office, specifically spreadsheet fundamentals
  • Pursuing a degree in Business, Computer Science, Engineering, Data Science, Energy, or a related field with a GPA of 3.0 or higher.

Nice To Haves

  • Familiarity with AI/ML concepts such as supervised learning, NLP, and/or generative AI
  • Experience with Snowflake, relational databases, and/or semantic modeling concepts
  • Exposure to SQL, Python, or other data analysis tools
  • Familiarity with North American energy market data or power trading concepts

Responsibilities

  • Support Product Managers in defining and documenting requirements.
  • Design, build, and rigorously test semantic views and the underlying semantic layer.
  • Help prioritize features and maintain project backlog and roadmap.
  • Collaborate with data science, engineering, and design teams to support product development and delivery.
  • Assist with feature testing, validation, and launch support.
  • Develop documentation for ongoing operational ownership (O&M) and prepare go-to-market plans and internal communications.

Benefits

  • Paid internship.
  • Chance to work beside and learn from industry experts.
  • Access workshops that develop your professional skills, including Public Speaking, Presentation Building, Networking, and Tips from Recruiting Experts.
  • Opportunity to present your project to senior leadership within the organization.
  • Build your network by teaming up with subject matter experts in the energy markets industry.
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