Desired Skills

AI Implementation Specialist (Training) Job Description

6-9+ years of fashion industry experience, preferably working in footwear design.

Strong background in fashion design

Adobe Illustrator

Adobe Photoshop

Experience creating and reviewing fashion visuals (garments, prints, footwear, accessories)

Familiarity with generative AI tools (e.g., Midjourney, DALL·E, similar)

Comfort learning and explaining new software tools

Google Docs, Slides, and Spreadsheets

MS365

Strong written and verbal communication skills

Job Description

Raspberry AI is seeking a full-time, remote AI Training & Implementation Specialist with a fashion design background to onboard, train, and support customers using our AI-powered design platform.

In this role, you’ll be responsible for helping new and existing customers become confident, independent users of Raspberry AI. Your focus will be training, onboarding, and ongoing enablement—running live sessions, hosting office hours, troubleshooting user issues, and creating clear educational resources that scale.

You’ll work closely with Customer Success, Product, and Engineering to surface user feedback, flag issues, and continuously improve how customers learn and use the platform. This role is ideal for someone who enjoys teaching, problem-solving, and working directly with designers—and who is excited about helping fashion teams adopt generative AI in practical, real-world workflows.

Responsibilities

Additional responsibilities may be assigned as business needs evolve.

* Lead customer onboarding and training sessions to help users get productive quickly

* Host office hours and follow-up sessions to support ongoing learning and adoption

* Respond to customer questions and troubleshoot issues via the Support Desk, email, or Loom

* Review customer usage to identify blockers, confusion, or opportunities for improvement

* Escalate bugs and product issues to Engineering and track them as needed

* Create and maintain enablement resources such as onboarding scripts, help docs, and Loom videos

* Partner with Customer Success, Product, and Engineering to share customer feedback and insights

* Support teammates by answering questions and contributing to team workflows

Compensation Range: $60K - $90K