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7 дней назад

Director of Support Engineering (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Director of Support Engineering (AI): Building and leading enterprise support architecture for AI-powered solutions with an accent on incident management, diagnostic runbooks, and high-stakes customer escalation. Focus on investigating production issues across APIs, microservices, databases, and authentication systems while deploying AI tools for log analysis, triage, and self-service support.

Location: Berlin, Germany

Company

hirify.global is an AI-first startup building LLM-powered applications for large enterprises, combining product development with consultancy and serving Fortune 500 customers.

What you will do

  • Establish and lead the enterprise support function, including support architecture, SLA frameworks, incident escalation paths, and diagnostic runbooks.
  • Support enterprise executives, sponsors, and engineering leads on live technical calls; uncover workflow issues, translate requirements, and manage high-stakes account de-escalations.
  • Investigate, reproduce, and resolve production incidents across web applications, REST APIs, webhooks, microservices, and databases.
  • Query databases, analyze CloudWatch, Datadog, and Splunk logs, trace JSON payloads, and inspect source code to isolate root causes.
  • Configure, test, and deploy AI tools and LLM APIs for log analysis, automated triage, and self-service knowledge bases.
  • Partner with Product and Engineering leadership to turn recurring customer issues into product specifications, bug fixes, and feature enhancements.

Requirements

  • 4+ years of hands-on experience in Technical Support Engineering, Solutions Engineering, QA, or SRE within complex enterprise or B2B SaaS environments.
  • Experience building processes, setting technical standards, and mentoring engineering colleagues in a fast-paced startup environment.
  • Hands-on proficiency writing complex SQL queries for relational and cloud databases.
  • Practical experience with deep log analysis in CloudWatch, Datadog, Splunk, Grafana, or Loki.
  • Solid understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, and browser DevTools.
  • Working familiarity with enterprise authentication protocols including SSO, SAML 2.0, OAuth 2.0, and Okta.
  • Daily practical use of generative AI and agentic coding tools such as Claude Code, Cursor, ChatGPT, and Copilot for log parsing, code navigation, and workflow automation.
  • Exceptional written and verbal English communication skills, including experience advising enterprise executives during live technical calls.

Culture & Benefits

  • Work in an early-stage, fast-growing, revenue-generating AI company with direct ownership and impact.
  • Collaborate closely with enterprise customers, Product, and Engineering teams.
  • Work with complex enterprise environments, cutting-edge AI products, and fast product cycles.
  • Help shape AI-first support workflows and the customer experience from the ground up.

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