Implementation Specialist Jobs in USA with Visa Sponsorship
Implementation Specialists are consistently sponsored for H-1B visa and TN visas when the role requires a bachelor's degree in a technical field like computer science, information systems, or engineering. Employers in SaaS, healthcare IT, and enterprise software actively file LCAs for this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster — from concept to market-ready assets — using industry-leading AI. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue.
How We Work
Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission — we step up, move fast, and hold ourselves accountable to results.
Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others.
Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative.
Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions.
1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today.
AI first: We use AI across the entire company — from product to growth to operations — to move faster and produce higher-quality work.
What we offer
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.
ABOUT THE ROLE
Raspberry AI is seeking a full-time, remote AI Implementation Specialist, Training to help fashion teams successfully adopt and use our AI-powered design platform. This role sits at the intersection of fashion, digital product creation, customer enablement, and generative AI. You’ll be responsible for onboarding new customers, training existing users, answering product questions, troubleshooting issues, and creating clear educational resources that help users become confident and independent in Raspberry AI. This is a highly customer-facing role. You’ll partner closely with Customer Success, Product, and Engineering to surface feedback, identify blockers, and continuously improve the customer learning experience.
Responsibilities
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
BASIC QUALIFICATIONS
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
PREFERRED QUALIFICATIONS
Experience at a fashion brand, retailer, or vendor using DPC tools
Experience supporting designers, merchants, product developers, or cross-functional product teams
Experience creating training materials, tutorials, documentation, or workflow guides
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 moving from traditional fashion roles into fashion technology, implementation, enablement, or AI
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)
COMPENSATION
Base Salary: $75,000 - $95,000
We can be flexible for the right candidates!
INTRODUCTION
Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster — from concept to market-ready assets — using industry-leading AI. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue.
How We Work
Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission — we step up, move fast, and hold ourselves accountable to results.
Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others.
Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative.
Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions.
1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today.
AI first: We use AI across the entire company — from product to growth to operations — to move faster and produce higher-quality work.
What we offer
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.
ABOUT THE ROLE
Raspberry AI is seeking a full-time, remote AI Implementation Specialist, Training to help fashion teams successfully adopt and use our AI-powered design platform. This role sits at the intersection of fashion, digital product creation, customer enablement, and generative AI. You’ll be responsible for onboarding new customers, training existing users, answering product questions, troubleshooting issues, and creating clear educational resources that help users become confident and independent in Raspberry AI. This is a highly customer-facing role. You’ll partner closely with Customer Success, Product, and Engineering to surface feedback, identify blockers, and continuously improve the customer learning experience.
Responsibilities
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
BASIC QUALIFICATIONS
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
PREFERRED QUALIFICATIONS
Experience at a fashion brand, retailer, or vendor using DPC tools
Experience supporting designers, merchants, product developers, or cross-functional product teams
Experience creating training materials, tutorials, documentation, or workflow guides
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 moving from traditional fashion roles into fashion technology, implementation, enablement, or AI
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)
COMPENSATION
Base Salary: $75,000 - $95,000
We can be flexible for the right candidates!
See all 108+ Implementation Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Implementation Specialist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an Implementation Specialist
Frame your degree as a technical match
USCIS requires a direct connection between your degree field and the role. A computer science, information systems, or engineering degree strengthens your H-1B petition considerably. Business or management degrees alone may not satisfy the specialty occupation standard.
Target SaaS and enterprise software employers
Companies deploying complex software platforms, ERP systems, or healthcare IT solutions file LCAs for Implementation Specialists far more consistently than general employers. DOL disclosure data shows heavy sponsorship activity from mid-market and enterprise SaaS firms.
Highlight technical configuration and integration work
Roles focused on API integrations, system configuration, and technical onboarding are more defensible as specialty occupations than those emphasizing client training or project coordination. Emphasize the technical scope of your work in your resume.
Check for TN eligibility if you're Canadian or Mexican
Implementation Specialists who hold a qualifying degree in computer science or engineering may be eligible for TN visa status under USMCA. TN classification bypasses the H-1B lottery entirely and can be secured at the border or port of entry.
Understand the LCA before your offer stage
Your employer must file a certified Labor Condition Application with the Department of Labor before submitting your H-1B petition. Knowing this helps you ask the right questions during negotiation and set realistic timelines with hiring managers.
Look for employers with a sponsorship history
Prior H-1B filings for the same job title are a strong proxy for sponsorship willingness. Browse roles on Migrate Mate, which surfaces sponsoring employers specifically, so you're not spending time on companies unlikely to file petitions.
Frequently Asked Questions
Does an Implementation Specialist role qualify as an H-1B specialty occupation?
It depends on how the role is defined. USCIS requires that the position normally requires a bachelor's degree in a specific technical field. Implementation Specialist roles involving system configuration, API integration, or ERP deployment typically qualify when tied to a computer science or information systems degree. Roles focused primarily on customer training or project management face more scrutiny and higher petition risk.
Which visa types do employers use to sponsor Implementation Specialists?
The H-1B visa is the most common pathway, followed by the TN visa for Canadian and Mexican nationals with qualifying technical degrees. L-1B transfers are also an option for professionals already employed abroad by a multinational company moving to a U.S. entity. E-3 visas cover Australian nationals in qualifying specialty occupation roles. The right visa depends on your nationality, degree, and the technical scope of the position.
What degree do I need for an employer to sponsor my visa in this role?
Most successful H-1B petitions for Implementation Specialists cite degrees in computer science, information systems, software engineering, or a closely related technical field. A general business degree carries risk unless the role is defined with enough technical specificity to justify it. USCIS evaluates the degree-to-job relationship, not just whether you hold a bachelor's. If your degree field is adjacent, a detailed employer support letter documenting technical requirements can strengthen the case.
How do I find Implementation Specialist jobs where employers are open to sponsorship?
Most job listings don't advertise sponsorship willingness upfront, which makes filtering by employer LCA history the most reliable approach. Migrate Mate aggregates roles from employers with documented H-1B sponsorship activity, so you can browse Implementation Specialist openings without manually screening each company. This saves significant time during a job search that's already complicated by visa timelines.
Can I transfer my H-1B to a new employer if I change Implementation Specialist jobs?
Yes. Under H-1B portability rules, you can begin working for a new employer once they file a new petition on your behalf, without waiting for approval, as long as your previous H-1B was properly maintained. The new employer must file their own I-129 petition and LCA. The role must still qualify as a specialty occupation, so the same degree and technical scope requirements apply at the new company.
What is the prevailing wage requirement for sponsored Implementation Specialist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.