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Evolution Design Lab

AI Business Operations Intern

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Recruitment began on May 2, 2026
and the job listing Expires on June 2, 2026
Full-time, Internships
Apply Now

About Us

Evolution Design Lab is a women’s wholesale footwear company with proprietary technology platforms that manage the complete product lifecycle, from design and manufacturing through distribution. We partner with major US retailers including JCPenney, Famous Footwear, and DSW to bring comfortable, stylish, and affordable shoes to market. Our team thrives in a collaborative culture built on continuous learning and rapid innovation, bridging traditional wholesale operations with modern supply chain technology.

The Role

We’re looking for someone with a high sense of agency who wants to work at the intersection of AI and business. This is a high ownership role where you’ll work directly with leadership to apply AI and automation across a wholesale footwear operation that sells to major U.S. retailers.

Your day to day will shift based on what the business needs. One week you might be building a workflow that automates order processing. The next you might be documenting SOPs, analyzing sales data, or prototyping an internal tool using Claude. The constant is that you’ll always be using technology to make the business faster, smarter, and more organized.

This role is for someone who genuinely enjoys experimenting with AI beyond school assignments and wants to see what happens when these tools are applied to real business problems.

Responsibilities

  • Build and refine AI powered automation workflows across operations, ecommerce, and internal communications
  • Use tools like Claude Code, Hermes Agent, and n8n to prototype apps, automate repetitive tasks, and streamline how the business runs
  • Analyze operational and sales data to surface insights that drive decisions
  • Document SOPs and internal processes clearly enough for anyone on the team to follow
  • Support ecommerce operations, product data management, and digital asset workflows
  • Research and recommend new AI tools, integrations, and approaches as they emerge

Qualifications

  • AI native. You regularly use LLMs like Claude and ChatGPT beyond basic prompting, whether through vibe coding, prompt engineering, or building functional apps with AI assistance.
  • Systems thinker. You understand how processes connect end to end and recognize that changes in one area cascade downstream. You default to thinking in workflows and dependencies, not isolated tasks.
  • Structured and organized. You can take an ambiguous or broken process, decompose it, and rebuild it into something repeatable and self explanatory.
  • Operationally minded. You have a genuine interest in how businesses function beneath the surface, from inventory movement to vendor coordination to retail fulfillment.
  • Data literate. You are comfortable navigating databases, spreadsheets, and data pipelines, whether that means writing SQL, working in Supabase, or structuring a complex Excel file.
  • High sense of agency. You move without waiting for direction, learn tools independently, and address problems proactively whether or not they’ve been assigned to you.

Preferred Qualifications

  • Experience with workflow automation platforms such as n8n or Claude Code
  • Exposure to ecommerce platforms, ERP or PLM systems, or retail operations
  • Coursework or projects in business, data analytics, computer science, or a related field
  • A portfolio, GitHub, or examples of things you’ve built with AI

Details

  • Type: Internship, part time or full time depending on availability
  • Location: Pasadena, CA (hybrid)
  • Compensation: Competitive, commensurate with experience
Apply Now

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  • 01 Occupation Description
  • 02 Employment Trends
  • 03 Top Employers
  • 04 Education Levels
  • 05 Annual Earnings
  • 06 Technical Skills
  • 07 Core Competencies
  • 08 Job Titles

Occupation Description

Employment Trends

The number of jobs in the career for the past two years, the current year, and projections for the next 10 years. Job counts include both employed and self-employed persons, and do not distinguish between full- and part-time jobs. Sources include Emsi industry data, staffing patterns, and OES data.

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    Education Levels

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          Meet the Team

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          Phone
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          Email
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          Address

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          2200 Hickory Street
          Abilene, TX 79601

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