Operations Intern

In Short

We are looking for a curious, analytical, technology-focused and future thinking intern to join our Operations team. You’ll be diving deep into our day-to-day workflows, identifying inefficiencies or repetitive tasks, and exploring how artificial intelligence and machine learning could provide smarter solutions.

This role is perfect for someone passionate about the intersection of business operations and emerging technologies.

What You'll Gain

• Real-world experience applying AI/ML in an operations environment in a high growth company.
• Exposure to cross-functional collaboration in a fast-paced industry.
• Opportunity to make a tangible impact and leave behind a roadmap for smarter and more efficient operations

- Start date: June 23rd to September 5th
- Duration: 12 weeks
- Prerequisite: Interest in area relevant to the internship, passion for On, right to work in the United States (Portland, OR)
- Note: This is a paid internship
- If you don't meet the criteria above, unfortunately, we cannot move forward with your application. Please be truthful in your answers; the recruiter reviewing your application will appreciate your honesty.

Your Mission

• Analyze existing operational workflows, with a focus on areas like inventory management, data and analytics, warehouse capacity forecasting, logistics.
• Identify pain points or inefficiencies that could benefit from automation or artificial intelligence / machine learning (AI/ML) solutions.
• Research and propose AI/ML use cases tailored to operational needs (e.g., predictive analytics, intelligent routing, inventory optimization).
• Collaborate with cross-functional teams (Technology, Sales Operations, etc) to scope feasibility of solutions.
• Build basic prototypes or proof-of-concepts or outline solution roadmaps for tech teams to execute.
• Present findings and recommendations to the Operations leadership team.

Your Story

• Currently pursuing a Master’s degree in Operations Management, Industrial Engineering, Data Science, Computer Science, Business Analytics, or related field.

• Creative thinker who views challenges and problems as opportunities

• Strong analytical and problem-solving skills; experience with data modeling or process mapping is a plus.

• Familiarity with AI/ML concepts and tools (e.g., Python, scikit-learn, TensorFlow, or other platforms).

• Passion for efficiency and continuous improvement.

• Strong communication skills and ability to translate complex technical ideas into business-friendly language.

• Self-starter attitude with the ability to work independently and collaboratively.

   

   

• Preferred (but not required)
  - Experience with Excel, SQL, Power BI/Tableau.
  - Understanding of supply chain and manufacturing processes.
  - Prior internship or project work related to automation or AI applications.

Meet the Team

Join our forward-thinking and action-oriented Operations team to help us bring the right information to the right people to make the right decisions. We constantly strive to improve, to facilitate our fast growth and to shape best practices by thinking differently, challenging the status quo and bringing improvements through the use of new technology and practices.

What we Offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We are requesting that you provide sensitive demographic information such as gender identity and race/ethnicity to help us ensure that we are creating equitable and fair experiences for all potential future team members. You are not required to provide this demographic information and this information will in no way impact your eligibility for hire.

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