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3 дня назад

Technical Customer Support Specialist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Technical Customer Support Specialist (AI): Investigating and resolving complex customer data and software issues across retailer files, extractor logic, master data, and ingestion behavior with an accent on root-cause analysis, durable fixes, and AI-assisted support. Focus on improving Lens's knowledge base, creating customer enablement content, and turning recurring ticket patterns into scalable support processes.

Location: Hybrid in Washington, DC; 3+ days per week in the office. Remote employees will not be considered.

Company

hirify.global provides a commerce intelligence system that unifies data from ERPs, retailers, ecommerce platforms, and distributors for consumer brands.

What you will do

  • Triage inbound tickets and provide timely, accurate Tier 2 and Tier 3 technical support.
  • Investigate complex data issues across retailer files, product and location master data, extractor logic, and ingestion behavior.
  • Identify root causes and drive permanent fixes through extractor changes, guardrails, monitoring, and product improvements.
  • Use AI tools to accelerate investigations while validating results with sound technical judgment.
  • Improve the knowledge base supporting the Lens AI assistant by writing help articles, documenting ticket patterns, and maintaining context.
  • Create onboarding materials, training sessions, and self-serve content while collaborating with engineering, data operations, and account management.

Requirements

  • Bachelor's or associate's degree in a technical or related field, or equivalent SaaS work experience.
  • Two or more years of experience in technical support, solutions, or data roles; strong early-career candidates with demonstrated ability to learn and reason well may also apply.
  • Experience investigating complex data issues, comparing large structured files, understanding data models and identifiers, and resolving root causes.
  • Hands-on experience with AI tools such as Claude, ChatGPT, Gemini, or Copilot, including understanding their limitations.
  • Ability to explain technical issues to technical and non-technical audiences and create documentation, training, or onboarding content.
  • Experience supporting software users, managing multiple inquiries, and prioritizing work effectively.

Nice to have

  • Experience with RAG systems, AI knowledge bases, or prompt and context engineering.
  • Industry experience in consumer goods, retail, or supply chain.

Culture & Benefits

  • Work in a small, fast-growing, well-funded startup with substantial individual ownership.
  • Collaborate across support, engineering, data operations, and account management.
  • Help shape scalable customer support as AI handles an increasing share of routine questions.
  • Work in an inclusive environment focused on iteration, open communication, and mutual support.

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