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Fashion AI Specialist

Compensation
$80,000–$120,000/year

Job Description

About the Role

Raspberry AI is seeking a full-time, Fashion AI Specialist to help fashion brands and retailers discover, evaluate, and envision how AI can transform their design and product creation workflows.

This role sits at the intersection of fashion, digital product creation, customer engagement, and generative AI. You'll partner closely with prospective customers to understand their workflows, demonstrate Raspberry AI, and show how our platform can accelerate design, merchandising, product development, and visual creation processes.

You will work closely with Sales, Customer Success, Product, and Engineering to communicate customer needs, refine demo experiences, and continuously improve how we showcase the value of Raspberry AI.

This is a highly customer-facing, consultative role ideal for someone who combines deep fashion expertise with strong communication skills and excitement for emerging AI technologies. You will be speaking with Directors, VPs, and C-Suite folks — must be comfortable holding conversations with folks at this level.

Responsibilities

  • Lead compelling product demonstrations for prospective customers, showcasing how Raspberry AI supports real fashion workflows

  • Partner with Sales during discovery calls to understand customer challenges, workflows, and business objectives

  • Tailor demos and presentations to specific customer use cases across fashion design, DPC, product development, merchandising, and visual creation

  • Serve as a trusted fashion and workflow expert during the evaluation process, helping prospects envision how Raspberry AI fits within their existing processes

  • Conduct workflow discovery sessions with design, product development, merchandising, and creative teams

  • Answer product, workflow, and technical questions throughout the sales process via live calls, email, Slack, or Loom

  • Create customized demo assets, sample outputs, presentations, and use-case examples that resonate with prospective customers

  • Gather and communicate customer feedback, objections, feature requests, and workflow insights to Product and Engineering teams

  • Partner with Marketing and Sales to continuously improve demo narratives, messaging, and customer-facing materials

  • Create and maintain demo environments, sales enablement materials, workflow examples, presentations, and internal documentation

  • Stay current on Raspberry AI product updates and broader AI tools relevant to fashion and design workflows

  • Represent Raspberry AI as a product and fashion expert during customer meetings, webinars, events, and industry conversations

Desired Skills & Experience

  • 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 presenting, training, consulting, or engaging with customers in a professional setting

  • Comfortable leading live demonstrations and speaking with designers, product developers, creative leaders, and executive stakeholders

  • Strong discovery and consultative communication skills

  • Ability to understand customer pain points and translate them into compelling product stories

  • Strong troubleshooting skills and ability to answer product and workflow questions in real time

  • Comfortable learning new software quickly and explaining complex 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

Strong Candidates May Have

  • Experience at a fashion brand, retailer, or vendor using DPC tools

  • Experience in solutions consulting, sales engineering, pre-sales, customer-facing product roles, or fashion technology

  • Experience supporting designers, merchants, product developers, or cross-functional product teams

  • Experience creating presentations, demos, workshops, or customer-facing storytelling materials

  • Experience with 3D tools, PLM systems, CAD tools, or digital sample workflows

  • Prior exposure to AI image generation or prompt-based creative tools

  • Interest in helping shape the future of AI adoption within the fashion industry

Education

Bachelor's degree preferred in one of the following areas: Fashion Design, Accessory Design, Graphic Design, Digital Product Creation, or related art/design/product development disciplines (or equivalent professional experience).

We can be flexible for the right candidates!

Equity offered

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Job Details

Category
Sales & Marketing
Employment Type
Full Time
Location
United States (Remote)
Posted
Compensation
$80,000 - $120,000 per year

About Raspberry AI

Increase revenue and speed-to-market with our industry-defining AI design software. Our software enables fashion brands and retailers to understand consumer demand and create unique designs that are in high demand with high purchase likelihood, in minutes, not months. By translating these insights into customized, inclusive marketing campaigns and virtual photoshoots, Raspberry AI empowers brands to authentically connect with diverse audiences—driving higher customer engagement and accelerating sales growth. We bring the best industry-leading AI analytics and generative AI capabilities to fashion product development. Join some of the top 10 global fashion brands using our software to turbocharge the design and merchandising processes. Boston Proper, Gruppo Teddy, Li & Fung, MCM Worldwide and Under Armour are among the leading fashion companies using Raspberry AI to streamline workflows and accelerate product development. Reach out to us at raspberry.ai for more information.

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