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5 дней назад

AI Solution Engineer (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

AI Solution Engineer (AI): Helping customers adopt and operate AI agents for home service contractors with an accent on technical troubleshooting and product reliability. Focus on resolving complex AI agent issues, investigating system behavior via logs and SQL, and collaborating with Engineering to close product feedback loops.

Location: Hybrid in Lehi, Utah

Company

hirify.global is a fast-growing startup backed by Khosla Ventures and YC, building AI agents that automate front-office workflows for plumbing, HVAC, and electrical contractors.

What you will do

  • Resolve customer issues across product, workflow, and technical support queues.
  • Troubleshoot AI agents, call flows, and booking workflows using logs and SQL.
  • Partner with Engineering and Product teams to escalate bugs and document technical patterns.
  • Communicate technical resolutions clearly to a range of customers, from SMBs to enterprise accounts.
  • Define and improve support processes, documentation, and quality standards as the company scales.

Requirements

  • 3+ years of experience in technical support, product support, or solutions engineering.
  • Strong ability to investigate system behavior using logs and ticketing tools like Zendesk.
  • Experience working directly with customers to resolve ambiguous technical issues.
  • Must be based in or able to work hybrid in Lehi, Utah.
  • Deep interest in AI products and ability to thrive in a fast-moving startup environment.

Nice to have

  • Experience with SQL, JavaScript, APIs, or light scripting.
  • Background in VoIP, communications, or workflow automation products.
  • Experience supporting mid-market or enterprise SaaS customers.

Culture & Benefits

  • Opportunity to work in a high-growth startup environment with significant VC backing.
  • Collaborative culture with close integration between Engineering, Product, and Customer Success.
  • High level of ownership and expectations for rapid learning.
  • Focus on building the future of AI-driven operational support.

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