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Elliptic ищет руководителя технической поддержки и инженерной команды для масштабирования функций поддержки в крипто-блокчейн-организации. Вы будете управлять четырьмя хабами, выстраивать дорожную карту AI-автоматизации и наставлять сотрудников, сохраняя базу знаний в актуальном виде.
Кандидат должен иметь опыт руководства командами, владение API, Datadog/Kibana, SQL и CI/CD, а также интерес к крипто и регуляторным требованиям. Гибридный режим работы и поддержка развития приветствуются.
Описание: Описания нет
Run the team day to day, managing queue health, SLAs, and the follow-the-sun coverage model across four hubs Own executive-level and major-incident escalations, managing customer communication while Engineering resolves the underlying issue Review product requirements that affect support and flag potentially customer-impacting deployments before they ship Own the AI automation roadmap, team career frameworks, and SOPs Hire and grow the team, mentor and coach team members on technical troubleshooting and career development, and maintain the knowledge base as a durable asset Work with the team to turn recurring incident types into AI-enabled and other self-service options, and monitor their usage Advocate for customer needs with leadership and turn escalation insights into specific product roadmap requests Personally handle the toughest API escalations when customers’ web or mobile builds need senior technical guidance Establish a documented escalation and RACI model that the team uses Run an executive-level incident end to end, from initial contact through customer communication to resolution Ship and measure an AI-driven automation project that reduces routine incident volume, agreed and prioritised with the team
5+ Years in technical support, technical account management, or engineering 2+ Years of direct people management experience Experience leading a technical support or customer-facing engineering team through growth A track record of building or scaling a support function Ability to mentor and coach team members Comfortable reviewing PRDs and providing product feedback that engineers act on Experience with APIs, Datadog/Kibana, SQL, and workflow automation tooling Experience with AI/ML or enterprise B2B SaaS, including leading or closely supporting an automation project from pilot to production Practical fluency in prompt design, structured outputs, and LLM evaluation sufficient to sponsor AI work and assess its readiness to ship Familiarity with observability tooling, automation frameworks, and CI/CD pipelines Genuine interest in crypto, blockchain, and their compliance landscape Будет плюсом: experience in a regulated or high-stakes environment