AI Workflow Architect

8 hours ago

Tarlac City, Central Luzon, Philippines beBeeAutomation Full time $55,000 - $99,900
About AI Automation Role

We are a rapidly growing business, dedicated to providing safe and effective solutions for improving health and beauty. We are at an inflection point in our growth curve and are searching for an AI Automation Specialist to join us on our journey to become a major global brand.

The ideal candidate will design, build, and maintain workflow automations that attack our biggest growth bottlenecks. You'll work hands-on in n8n (plus Python/JavaScript) to turn manual, error-prone tasks into reliable agents that save time and unlock revenue.

Key Responsibilities:
  • Map pain points – Interview team members across marketing, ops, CX, and product to identify high-impact, high-effort processes ripe for automation.
  • Ship automations fast – Build, test, and deploy n8n workflows (and occasional custom scripts) for use cases like influencer sourcing, automated reporting dashboards, and an internal iRESTORE knowledge bot.
  • Integrate tools – Connect Shopify, Amazon SP-API, Google Sheets, Slack, Airtable, Klaviyo, etc. using APIs and webhooks.
  • Monitor & iterate – Set up logging, alerting, and SLA checks; refine flows based on usage data and stakeholder feedback.
  • Document & train – Create concise SOPs and Loom walkthroughs so non-technical teammates can self-serve.
  • Track ROI – Quantify hours saved, cost reductions, and incremental revenue driven by each automation.
Requirements:
  • Experience in e-commerce, DTC, or Amazon marketplace tooling.
  • Experience building workflow automations (n8n required; Zapier/Make.com plus).
  • Proficiency in JavaScript or Python for custom nodes, API wrappers, and data transforms.
  • Solid grasp of REST APIs, OAuth, and webhook patterns.
  • Strong English communication skills; able to translate business requirements into technical specs.
  • Self-starter mindset, bias for action, comfortable working async with 2-4 hr overlap to Pacific Time.
Nice-to-Haves:
  • Familiarity with vector databases, LangChain/LlamaIndex, and RAG pipelines.
  • Basic SQL and data-viz (Metabase, Looker, Supabase).
  • Knowledge of prompt engineering and LLM orchestration.
KPIs / First-90-Day Outcomes:
  • Eliminate 150+ hours of manual work, delivering immediate ROI and boosting team morale.
  • Create at least 3 high-impact automations to demonstrate execution velocity and value creation.
  • Achieve an internal NPS score of +30.

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