[Hiring] Go-to-Market Engineer @atqleads
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Go-to-Market Engineer @atqleads
All Others
Salary unspecified
Remote Location
Employment Type contract
Posted 2wks ago

[Hiring] Go-to-Market Engineer @atqleads

2wks ago - atqleads is hiring a remote Go-to-Market Engineer. πŸ’Έ Salary: unspecified πŸ“Location: Canada

Role Description

This is a remote position. ATQLeads builds GTM systems for B2B companies that are done waiting on agencies and tired of the cost of full-time hires. We sit between the two: a network of vetted GTM operators who embed directly inside client teams β€” inside their tools, their Slack, their stack β€” and deliver against outcomes, not hours.

The GTM Engineer is the engine builder at the core of every ATQ Squad engagement. Strategy without a GTME stays theoretical. Campaigns stay manual. Data stays fragmented. Pipeline stays unpredictable. The GTME is the person who turns direction into operational machinery and then keeps that machinery running.

You won't be assigned tickets. You'll be given a GTM problem, a client stack, and a capacity commitment. Your job is to build the system that solves it, own its reliability, and push it forward without being asked.

What You'll Do

  • Technical and System Building
    • Own four interconnected systems end-to-end:
    • Outbound, Inbound and Pipeline Generation Engine
      • Multi-channel sequences across email, LinkedIn, phone, and video.
      • Sending infrastructure and deliverability management.
      • Inbound capture via webhooks from forms, webinars, intent feeds, and website behavior.
      • Product-led activation flows when product event data is available.
    • Data and Enrichment System
      • Lead sourcing, TAM mapping, waterfall enrichment across multiple data sources.
      • Segmentation and signal-based targeting using various signals.
      • Custom signals built from any data source.
      • Composite scoring models that combine multiple signals.
    • Automation and Workflow Layer
      • End-to-end workflows across various tools.
      • API and webhook integrations as the default approach.
      • LLM API calls integrated into production workflows.
      • Reusable modules to avoid logic duplication.
      • Python and pandas for data work no-code tools cannot handle.
    • Conversion Infrastructure
      • Reply handling logic and meeting routing.
      • CRM hygiene and tracking infrastructure built in at system setup.
      • Dashboards that show conversion rates and volume at each funnel step.
  • Three Phases of Execution
    • Foundation
      • Build the initial outbound and data infrastructure.
      • Define and instrument the metrics needed to evaluate system performance.
    • Ongoing
      • Launch and manage campaigns, enrich and refresh lead lists.
      • Monitor deliverability and maintain CRM accuracy.
    • Optimization
      • A/B test messaging, targeting logic, and conversion paths.
      • Prioritize improvements based on performance gaps.
  • Cross-Functional Collaboration
    • Depend on inputs from various teams to do your job well.
    • Work closely with sales, marketing, and growth ops teams.
  • Strategic Ownership
    • Generate your own ideas and diagnose bottlenecks early.
    • Build systems that continue functioning after you leave the engagement.

Qualifications

  • Real technical range with:
  • Python, JavaScript, or SQL β€” including pandas for data handling.
  • APIs, webhooks, and structured data.
  • Clay (required) and Make (preferred) or n8n.
  • CRM configuration (HubSpot, Zoho, or Salesforce).

Requirements

  • Hard requirements (must have)
    • Clay β€” multi-source tables, waterfall enrichment, formula columns.
    • Make or n8n β€” multi-step scenarios with error handling.
    • Python, JavaScript, or SQL (at least one).
    • APIs and webhooks as the default integration approach.
    • LLM API integration into production workflows.
    • CRM configuration on HubSpot, Zoho, or Salesforce.
    • Track record: at least one shipped system still running at a previous engagement.
    • Fluent in English.
  • Working knowledge expected
    • Apify or equivalent web scraping.
    • Deliverability ops: domain warmup, sender rotation.
    • Composite scoring across various signals.
    • pandas for CSV/Excel cleaning and transformation.
  • Operating requirements
    • Async-first work in Slack, Notion, Linear.
    • Deliver a working artifact within 72 hours of an unstructured brief.
    • Ship documentation with every build.
    • Communicate directly with clients β€” no PM intermediary.
    • Manage your own priorities and blockers.

Benefits

  • Fully remote work environment.
  • Freedom to work whenever you want.
  • If you want to do the best work of your career while shaping the next generation of AI-powered go-to-market systems, this role is for you.
Before You Apply
️
remote Be aware of the location restriction for this remote position: Canada
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Back to Remote jobs   >   All Others   >   ai engineer
Go-to-Market Engineer @atqleads
All Others
Salary unspecified
Remote Location
Employment Type contract
Posted 2wks ago
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