About the Company
We operate four fast-growing DTC brands across Shopify, Amazon, and TikTok Shop, with subscription revenue via Recharge. We run lean: small teams, high output, and heavy use of AI across marketing, ops, finance, and customer support. We're now hiring the person who turns that into infrastructure - someone who builds the agents, pipelines, and automations that let every team operate at 10x.
About the Role
This is not a "prompt engineer" role and not a pure web-dev role. You'll own the automation layer of the entire company.
Responsibilities
Build AI agents & automation infrastructure
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Design, build, and maintain AI agents (Claude/OpenAI, MCP servers, tool-use pipelines, agent Skills) that execute real business workflows end-to-end
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Automate recurring workflows across the company: creative production pipelines, performance reporting, daily/weekly ads performance reports (spend, ROAS, CPA by channel), daily P&L, inventory sync & reorder alerts, customer support triage & QA, accounting roll-ups and reconciliation, and data scraping (competitor ads, pricing, marketplace data)
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Build and maintain integrations across our stack: Shopify Admin API (GraphQL/REST), Recharge, Klaviyo, 3PL/WMS open APIs, ad platforms (Meta, Google, TikTok, Taboola, AppLovin), attribution tools, Google Sheets/Apps Script, Slack
Ship full-stack tools
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Front end: internal dashboards, Shopify theme/section work (Liquid, HTML/CSS/JS), landing pages
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Back end: API services, schedulers/cron jobs, webhooks, server deployment and maintenance (Linux), auth/token management, error handling and retry logic
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Database & knowledge layer: design and maintain the data layer (SQL/Postgres or similar) unifying orders, spend, COGS, inventory, and customer data across brands and channels - plus the "company brain": structured OS file systems and Markdown context/SOP files for every connector, tool, and workflow so AI agents and teammates always run on current knowledge
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Drive leverage, not tickets
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Identify the highest-ROI manual workflow in each department, automate it, document it, and hand it back
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Measure impact: hours saved, error rates down, reporting latency down
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Level up teammates on using AI tools well - you're a force multiplier, not a service desk
Qualifications
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Shopify: Admin API (GraphQL), Liquid/theme development, app ecosystem, ShopifyQL/analytics
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JavaScript (Node) + HTML/CSS: comfortable across front end and back end
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Server experience: deploying and running services (Linux, cron/schedulers, env/secrets management, logging)
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AI/automation experience: building agents and tool-use pipelines (Claude API, OpenAI API, MCP, function calling), agent Skills/SOPs, prompt + eval design
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Workflow automation: n8n / Zapier / Make / Apps Script or custom-code equivalents
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Databases & knowledge systems: SQL fluency; schemas for orders, spend, inventory, and customer data; building/maintaining company knowledge bases (Markdown docs, OS file structures, connector/SOP documentation) that power AI agents
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Python for data pipelines, ETL, and reporting (pandas, openpyxl or similar)
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API integration: OAuth, webhooks, signed requests, rate-limit/backoff handling
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Strong written communication: you'll work async across marketing, CS, ops, and finance