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Responsibilities
We are building a high-performance operating system for a fast-growing home service company based in Toronto (tile, grout, and stone restoration).
Role:
- We are looking for a Senior n8n Automation Engineer who can design, build, and optimize end-to-end automations connecting our CRM, Google ecosystem, and communication channels.
- This is not a basic automation role — we need someone who understands business operations, sales pipelines, and real-time data flow.
Tech Stack (Must Have Experience):
- n8n (advanced workflows, webhooks, API integrations).
- REST APIs (build, consume, debug).
- Google Sheets as database layer.
- Webhooks, cron jobs, queue logic.
- Experience integrating with CRMs (custom or SaaS).
- Understanding of backend systems (Laravel is a big plus).
Skills and Understanding:
- Thinks like a systems architect, not just an automation builder.
- Has experience with home service businesses or service-based operations.
- Understands the lead → booking → job → payment lifecycle.
- Understands dispatching technicians efficiently.
- Understands sales + marketing + operations data flow.
- Can propose better systems (not just execute tasks).
Mission:
- Architect and build a multi-agent AI operating system sitting on top of our existing stack, with four specialized agents reporting into a central orchestrator.
Marketing Agent:
- Monitors ad spend, lead quality by source, offline conversion reporting back to Google Ads, ManyChat flow performance, and proposes budget reallocations.
Sales Agent:
- Owns the lead-to-booking lifecycle.
- Handles inbound across Instagram/Messenger/SMS, qualifies, books estimates, reschedules, and escalates only what humans need to touch.
- Runs setter-level coaching on transcripts.
Operations Agent:
- Manages technician routing, availability, day-of dispatch, materials, and exceptions.
- Integrates with Availability Master 2026 and Marluapp.
Admin Agent:
- Handles invoicing reconciliation, commission calc, KPI rollups, daily and weekly executive briefings.
Orchestrator:
- The orchestrator above them is the COO layer: it watches the four agents, resolves conflicts, surfaces decisions that need a human, and reports to Director of each department (and the owner) in the language and cadence I actually want.
- This is not a chatbot.
- This is a workforce.
What you'll actually do in the first 90 days:
- Audit the existing CRM panels and Sheets architecture (full read access provided day one).
- Define the structure to build and the agents boundaries, memory model, and handoff protocol between agents.
- Build the orchestrator (likely n8n + Claude API + a state store — open to your proposal).
- Migrate the existing classification pipeline into the Sales Agent.
- Wire the Marketing Agent to Google Ads API for offline conversion reporting.
- Ship one fully autonomous loop (inbound lead → booked appointment → closer assigned → ops notified → outcome logged → admin reconciled) before touching the other three.
- Document everything in Spanish and English, because this will be handed to operators, not engineers.
Must-haves:
- Proven multi-agent system experience.
- Not "I read the Anthropic docs."
- Shipped systems with agents that hand off to each other, with memory, with tool use.
- Show me the repo or the workflow.
- Strong with Anthropic API specifically (tool use, computer use is a plus, structured outputs, prompt caching, batch).
- We're a Claude shop.
- n8n at a senior level.
- You know when to use the native nodes vs. an HTTP Request to the API directly.
- You've hit Cloud Starter limits and know the workarounds.
- Google Apps Script proficiency.
- Caja sandbox, ES5 frontend constraints, withSuccessHandler, JSON.stringify boundary rules — you don't need me to explain any of this.
- Google Sheets as a database.
- You know its limits and you know when to escape to a real DB.
- Spanish AND English fluency.
- The team is bilingual.
- The owner thinks in Spanish.
- Bias to ship.
- We move fast.
- Pretty architecture diagrams that take three weeks before any working code do not work here.
Nice-to-haves:
- Experience with JustCall, ManyChat, or any field service / trades CRM.
- Google Ads API experience, especially offline conversion imports.
- Built something with Claude Code or Claude in Chrome before.
- Vector store / RAG experience for institutional memory (our 10,000+ historical client records are sitting in Sheets).
- Comfortable with Marluapp or similar operational tools (you'll be talking to its developer).
Hard nos:
- Agencies subcontracting to juniors.
- I want to talk to the person doing the work.
- "AI consultants" whose portfolio is decks.
- Show working systems.
- Anyone who needs to be told what to do next.
This job post is closed.