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7 часов назад

Customer Success Specialist (AI)

Формат работы
onsite
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

Текст:
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TL;DR
Customer Success Specialist (AI): Building a world-class support function for an AI-powered hardware design platform with an accent on technical troubleshooting and user education. Focus on defining support processes, creating knowledge resources, and advocating for user needs within a fast-paced startup environment.

Location: On-site in San Francisco

Company

hirify.global is an AI-first startup building the world's first AI hardware engineer, enabling users to go from idea to manufacturable board using natural language prompts.

What you will do

  • Provide responsive, empathetic support via chat, email, and community channels.
  • Become an expert in the design environment to guide users through workflows and new features.
  • Investigate and triage technical issues in collaboration with the engineering team.
  • Create and maintain help center articles, FAQs, and tutorial content.
  • Analyze support tickets to identify recurring themes and propose product improvements.
  • Define and refine support processes, metrics, and tools to scale operations.

Requirements

  • At least 2 years of experience in customer support, customer success, or technical support at a software company.
  • Excellent communication and writing skills with the ability to translate complex technical concepts.
  • Organized, detail-oriented, and comfortable in a fast-paced startup environment.
  • Proficiency with support software, ticketing systems, and CRM tools.
  • Must be able to work on-site in San Francisco.

Nice to have

  • Familiarity with electronics design, CAD, or EDA tools.
  • Experience supporting technical or developer audiences.

Culture & Benefits

  • Opportunity to build a support function from the ground up.
  • Deeply collaborative environment that values critical thinking and experimentation.
  • Impact-oriented culture where ownership and bias toward action are encouraged.
  • Work at the forefront of AI-driven hardware design tooling.

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