Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Это хорошо описанная роль с возможностью выстроить поддержку в финансируемом AI-стартапе и работать с крупными клиентами, но обязанности директора сочетаются с самостоятельным разбором инцидентов и широким кругом операционных задач.
Руководитель и инженер
Современные технологии
Растущий AI-сектор
Можно влиять на процессы
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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