
11 - 50 employees
🤖 Artificial Intelligence
👗 Fashion
☁️ SaaS
Artificial Intelligence • Fashion • SaaS
Raspberry AI is a generative AI platform and creative assistant for fashion brands and designers that automates design and visual content creation. It generates prints, patterns, product graphics, and photorealistic renderings (sketch-to-render, photography and video studio outputs), and offers brand-customized AI models, private hosting, and enterprise workflows to speed concept-to-market, reduce sampling costs, and retain IP. The product is positioned as a B2B SaaS tool used by retailers, apparel manufacturers, and design teams to iterate faster and scale visual merchandising and product development.
🕒 June 17
🇺🇸 United States – Remote
💵 $75k - $95k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🛠️ Implementation Specialist
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11 - 50 employees
🤖 Artificial Intelligence
👗 Fashion
☁️ SaaS
Artificial Intelligence • Fashion • SaaS
Raspberry AI is a generative AI platform and creative assistant for fashion brands and designers that automates design and visual content creation. It generates prints, patterns, product graphics, and photorealistic renderings (sketch-to-render, photography and video studio outputs), and offers brand-customized AI models, private hosting, and enterprise workflows to speed concept-to-market, reduce sampling costs, and retain IP. The product is positioned as a B2B SaaS tool used by retailers, apparel manufacturers, and design teams to iterate faster and scale visual merchandising and product development.
• Lead customer onboarding and training sessions to help users get productive quickly in Raspberry AI • Host office hours, follow-up sessions, and working sessions to support ongoing adoption • Respond to customer questions and troubleshoot issues through the Support Desk, email, Slack, Loom, or live calls • Help users understand how Raspberry AI fits into real fashion workflows (design, DPC, product development, visual creation, and presentations) • Review customer usage and feedback to identify blockers, confusion, training gaps, and opportunities for improvement • Escalate bugs, product issues, and customer pain points to Product and Engineering with clear context and examples (screenshots, repro steps, Looms) • Create and maintain enablement resources: onboarding scripts, help docs, training decks, Loom videos, workflow guides, and internal SOPs • Partner with Customer Success to support customer adoption, expansion, and long-term success • Partner with Product and Engineering to share customer insights and improve the user experience over time • Support internal teammates by answering product questions, documenting workflows, and contributing to team processes • Stay current on Raspberry AI product updates and broader AI tools relevant to fashion and design workflows
• 3–7+ years of fashion industry experience (design, accessory design, DPC, 3D, CAD, product development, design ops, or adjacent) • Experience working in or adjacent to DPC workflows (3D design, digital sampling, PLM, CAD, virtual product creation, digital asset creation) • Strong understanding of fashion visuals (garments, prints, footwear, accessories, materials, silhouettes, styling, brand aesthetics, visual merchandising) • Experience training, teaching, supporting, or enabling users in a professional setting • Comfortable working directly with customers (designers, product developers, creative teams, cross-functional stakeholders) • Strong troubleshooting skills and ability to investigate issues before escalating • Comfortable learning new software quickly and explaining tools clearly to others • Strong written and verbal communication skills • Familiarity with generative AI tools (Midjourney, DALL·E, ChatGPT, Adobe Firefly, etc.) • Proficiency with Adobe Illustrator and Adobe Photoshop • Organized, proactive, and comfortable working in a fast-paced startup environment
• Innovative culture: A generational opportunity to define the role of AI in one of the world's largest industries. • Growth paths: Opportunities to drive impact well beyond your immediate role as the company scales. • Learning & development: Annual discretionary stipend for professional development. • Annual company offsite: We bring the whole team together once a year
Apply Now🕒 June 17
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