Назад
9 дней назад

Designated Technical Support Engineer (AI)

120 000 - 190 000$
Формат работы
hybrid
Тип работы
fulltime
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
Designated Technical Support Engineer (AI): Providing proactive and reactive technical support for enterprise customers using an AI-powered knowledge assistant, with an accent on troubleshooting, customer-specific integrations, and service reliability. Focus on debugging REST API, cloud, SSO, SAML, OAuth, and network issues, creating remediation plans, and coordinating complex customer-impacting incidents.

Location: Hybrid, with four days per week in one of Glean's San Francisco Bay Area offices; the posting lists Mountain View, CA.

Salary: $120,000–$190,000 annually, with potential variable compensation, equity, and benefits.

Company

Glean builds an AI-powered Work AI platform with enterprise search, an AI Assistant, scalable AI agents, SaaS connectors, and APIs on a secure, open platform.

What you will do

  • Own proactive and reactive technical support for designated enterprise customers, prioritizing issues and providing timely updates.
  • Lead customer reviews, resolution planning, continuous improvement, and coordination of support activities.
  • Troubleshoot issues, analyze logs and traces, manage alerts, and execute remediation plans through resolution.
  • Assist with configuring, setting up, and verifying content sources and product features.
  • Create customer-specific runbooks and knowledge articles, and educate customers on product capabilities.
  • Partner with internal teams on product, process, security, and support-scale improvements.

Requirements

  • Hybrid attendance four days per week in a San Francisco Bay Area office is required.
  • Experience in customer solutions engineering, support engineering, or professional services.
  • Hands-on experience with search technologies, knowledge technologies, or SaaS-based system integrations.
  • Experience with at least one cloud platform: Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
  • Strong troubleshooting and debugging skills, including application logs, stack traces, browser trace files, and REST API issues.
  • Working experience with SSO, SAML, OAuth, network troubleshooting, and technical documentation.

Nice to have

  • Knowledge of SQL or databases, Kubernetes, Linux, GitHub, Jira, and Confluence.
  • Basic knowledge of LLMs and how GPT works.

Culture & Benefits

  • Customer-focused, professional, creative, and collaborative work environment.
  • Medical, vision, and dental coverage, generous time off, and a 401k contribution plan.
  • Home office improvement, education, and wellness stipends.
  • Regular company events and daily healthy lunches.
  • The designated-customer assignment may require additional background screenings, clearances, training, certification, customer-provided equipment, and extended on-call shifts.

Hiring process

  • The interview process includes a brief AI-focused exercise or discussion.

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