Overview

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.

Responsibilities:
  • Lead and grow the technical team - developers and data engineering, including juniors and interns: 1:1s, growth plans, standards, hiring. This is a player-coach role on a small, talented team - you review architecture and unblock hard problems yourself.
  • Own delivery across four Shopify storefronts and the internal platforms behind them — stability, performance, security, and a disciplined path off single-person and single-machine dependencies onto governed company cloud (GCP).
  • Drive the AI & automation platform: production LLM agents on an open-source agent framework, a BigQuery data warehouse as the single source of truth, an agent memory layer, and deterministic workflow automation (n8n) - with clear governance: every agent owned, evaluated, and fed from validated data.
  • Run the AI-assisted engineering program - the team already adopted AI coding tools (Claude Code, Cursor) on its own initiative; you make that a shared, standard capability with conventions, licensing, and training.
  • Enforce build-vs-buy discipline - check platform capabilities before building, own the SaaS estate rationalization, and reserve in-house engineering for what genuinely differentiates.
  • Partner with company leadership - execute and evolve the technology roadmap with the partners and the fractional CTO; communicate clearly in business terms; manage priorities across brands.
Required Qualifications:
  • 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.
Benefits:
  • Paid days off
  • medical insurance
  • yearly bomus
  • wellness benefits
  • referral bonuses
  • A collaborative, supportive environment where your ideas and professional growth are highly valued
Nice To Have:
  • DTC growth-marketing context (attribution, pixels, ad-platform APIs)
  • data-visualization tooling on GCP (Looker)
  • experience mentoring interns into engineers
Technologies:
  • Shopify
  • JavaScript
  • TypeScript
  • Python
  • SQL
  • LLM APIs
  • GCP
  • BigQuery
  • Cloud Run
  • n8n
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