Technical Operations Associate

Bachelor’s degree in Business, Data Analytics, Information Systems, Merchandising, or a related field
2+ years in technical operations, product operations, or related roles
Strong working knowledge of Airtable (base structuring, interfaces, automations, scripts)
Proficiency in Google Suite (Sheets power user—data cleanup, formulas, filters, cross-sheet logic)
Experience building or managing lightweight internal tooling (admin panels, dashboards, Google Colab docs, etc.)
Basic understanding of APIs and how to connect softwares to one another (even if just via no-code platforms)
Proficiency in data analysis and familiarity with data scraping techniques/tools
Experience with Notion for documentation, process design, and team knowledge bases
Familiarity with no-code/low-code automation platforms (e.g. Zapier, Make, n8n)
Comfort with data integrity checks, normalization, and version control in collaborative environments
Experience designing and maintaining dashboards or trackers for internal visibility (bonus if in Airtable or Metabase!)
Strong analytical and creative problem-solving abilities with a technical mindset
Detail-oriented, with experience in documenting and optimizing processes
Clear and adaptive communicator—able to translate technical and operational concepts across diverse teams
Comfortable working in fast-paced, evolving environments with shifting priorities
You’re a systems thinker who’s energized by building elegant solutions to messy problems.

Maintain and update technical documentation, ensuring process changes and updates are clearly defined.
Manage and optimize automation, software, and tools for ideal workflows and organization.
Develop a deep understanding of our product and admin, providing structured feedback to the product team and technical ops team.
Support sales and brand partnerships teams with technical and admin assistance to streamline processes.
Monitor and maintain databases, dashboards and data visualizations via Airtable and Metabase to track key performance metrics and encourage data quality.
Serve as a bridge between Revenue and Product teams, ensuring relevant updates and feedback are communicated and implemented effectively.

Strong awareness of the potential and shortcomings of modern AI tools, with the ability to evaluate what’s genuinely effective and relevant to real-world operations.
Experienced with lightweight scripting for automation or data cleanup (e.g. Python, JavaScript, Google Apps Script)
Skilled at building systems that are intuitive, functional, and user-focused.
Familiar with or interested in fashion, retail, merchandising, or e-commerce environments.