Engineering Manager - AI & Technology Transformation

Аналитика рынка

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Описание

emater is a fast-growing, performance-driven e-commerce company — the parent company behind four DTC brands creating global impact. Based in Miami, with offices in Armenia and Israel and a team spanning the globe, we handle everything in-house from A to Z: operations, marketing, product development, and customer experience. We are hiring the engineering leader who will run that growth's technical engine: leading our development and data team day to day, and driving the company's AI and technology transformation - not as a side interest, but as the core mandate of the role. This is a rare version of this job. You will not inherit chaos and guesswork: you inherit a documented company - a partner-endorsed technology roadmap, a written AI platform architecture and decision records, a working cross-brand data warehouse, and AI agents already running in production with real daily users. Your job is to lead the team that turns that plan into compounding results. Why this role, why now The company has already proven that AI multiplies output - our own team built agents that teammates use every day. What it needs is the engineering leader who industrializes that proof: one platform, one source of truth, governed and measured, with a team whose capability grows faster than its headcount. The roadmap is written, the mandate is funded, and the partners are behind it. You will not spend your first year arguing for the transformation - you will spend it leading one. 5+ years in software engineering, including 2+ leading a team - ideally in e-commerce or DTC; you have shipped and operated production systems, not only managed them. Hands-on depth in the modern web stack: Shopify (themes, apps, APIs) or equivalent platform experience; JavaScript/TypeScript and/or Python; API design; SQL. Real, practical LLM/AI experience: you have built or shipped something on LLM APIs - agents, automation, internal tools - and can reason about prompting, evaluation, cost, and failure modes. You do not need a research background; you need production judgment. Cloud operations maturity: GCP preferred (BigQuery, Cloud Run), including access governance, secrets, monitoring, and cost discipline. Automation instinct: workflow tools (n8n or similar), an eye for manual toil, and the judgment to know what should be deterministic, what can be agentic, and what must stay human. Leadership in our languages: working proficiency in Armenian and English. A bonus, not a requirement: DTC growth-marketing

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