AI Support and Operations Specialist
AI Support & Operations Specialist Job Description
Desired Skills
5–8+ years of experience supporting creative software users (fashion, design, or adjacent industries strongly preferred)
Strong written communication and ability to explain workflows clearly and calmly
Experience managing support tickets and customer issues end-to-end
Familiarity with support platforms (Zendesk, Intercom, or similar) and support operations basics
Comfort troubleshooting technical issues (browser, uploads, permissions, account settings, file behavior)
Experience collaborating cross-functionally with Product and Engineering (bug reporting, reproduction steps, prioritization)
Familiarity with generative AI tools (e.g., Midjourney, DALL·E, similar)
Google Docs, Slides, and Spreadsheets
MS365
Bonus: Experience building support infrastructure (macros, help center structure, chatbot/agentic support, reporting)
Job Description
Raspberry AI is seeking a full-time, remote AI Implementation Specialist (Support) to own customer support and help build Raspberry’s support infrastructure as the company scales.
In this role, you’ll manage incoming support requests, troubleshoot issues, and ensure customers get unblocked quickly and consistently. Beyond day-to-day ticket resolution, you’ll help design how support works at Raspberry—evaluating tooling, improving workflows, expanding self-serve resources, and exploring agentic support/chatbot opportunities over time.
You’ll also play a key role in product quality: participating in bug bashes, testing new features before they reach customers, and evaluating AI outputs to flag regressions or edge cases. You’ll work closely with Training, Customer Success, Product, and Engineering in a fast-paced environment where support insights regularly shape the roadmap.
Additional responsibilities may be assigned as business needs evolve.
Responsibilities
Own the support queue end-to-end: triage, investigate, resolve, and follow up with customers via Support Desk and email
Create clear bug reports (steps to reproduce, screenshots, expected vs actual behavior) and track escalations to Engineering
Improve support workflows and infrastructure: macros, tagging, routing, SLAs/expectations, and internal playbooks
Evaluate and recommend support tooling and processes to support scale (e.g., Zendesk vs Intercom)
Maintain and improve customer-facing and internal support documentation with manager (Help Docs, quick guides, Looms)
Participate in product QA/testing (including weekly bug bash) and proactively test workflows ahead of customer sessions
Monitor recurring issues and customer friction patterns; share insights with Product/Engineering to prevent repeats
Collaborate cross-functionally to support launches, incidents, and customer communications when needed
Average salary estimate
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