Go-to-Market Engineer

Atqleads


Job Location:

Montreal - Canada

Monthly Salary: Not Disclosed
Experience Required: 4-5years
Posted on: 23 days ago
Vacancies: 1 Vacancy

Job Summary

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 inside their tools their Slack their stack and deliver against outcomes not hours.

We dont sell retainers. We deploy capacity. Operators are part of the company. If you want to own real work operate inside real companies and be compensated like a partner rather than a contractor this is where you belong.

Role Overview

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 wont be assigned tickets. Youll 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 Youll Do

Technical and System Building

You own four interconnected systems end-to-end:

Outbound Inbound and Pipeline Generation Engine multi-channel sequences across email LinkedIn phone and video with sequence logic appropriate to each channel. Sending infrastructure and deliverability management: domain warmup sender rotation content variation blacklist monitoring. Inbound capture via webhooks from forms webinars intent feeds and website behavior. Product-led activation flows (signup first key product action conversion trigger) 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 firmographic technographic hiring funding intent and behavioral signals. Custom signals built from any data source not only pre-built intent feeds. Composite scoring models that combine multiple signals. Signal expiration and refresh cadence management per source.

Automation and Workflow Layer end-to-end workflows across Clay (multi-source tables formula columns Claygent prompts) Make/n8n (multi-step logic error handling retries webhooks) Apify and CRM. API and webhook integrations as the default approach including when native integrations exist. LLM API calls (Claygent OpenAI Anthropic) integrated into production workflows for enrichment classification or copy generation. Reusable modules (Clay Functions Make sub-scenarios) so logic is not duplicated across tables. Python and pandas for data work no-code tools cannot handle.

Conversion Infrastructure reply handling logic meeting routing and scheduling flows CRM hygiene (HubSpot Zoho or Salesforce) and tracking and attribution infrastructure built in at system setup not added afterward. Dashboards that show conversion rates and volume at each funnel step. Signal source mapped to conversion outcome so you can identify the step with the largest performance gap and fix it there.

Three Phases of Execution

Your work runs in three modes depending on where the engagement is:

Foundation build the initial outbound and data infrastructure translate the GTM Strategists ICP into Clay filter logic configure CRM workflows and establish the reporting layer. Define and instrument the metrics needed to evaluate system performance before launch. Deliverable: one functional GTM engine ready to generate pipeline with monitoring at each step and documentation alongside the build handoff doc README Loom walkthrough.

Ongoing launch and manage campaigns enrich and refresh lead lists monitor deliverability handle replies and maintain CRM accuracy (deals progress through stages are moved deduplicated and closed when stale). Calculate conversion rates at each funnel step (open reply positive reply meeting set show). Deliverable: consistent campaign execution and pipeline flow.

Optimization A/B test messaging targeting logic and conversion paths. Prioritize improvements at the funnel step with the largest gap between current performance and benchmark not by stakeholder requests. Expand into new segments and channels once the existing system delivers consistently. Reduce manual steps systematically by automating any step still requiring human action. Refine ICP using actual response and conversion data not only the initial hypothesis. Deliverable: improving efficiency and scaling pipeline generation.

Cross-Functional Collaboration

You depend on inputs to do your job well: ICP definition and positioning from the GTM Strategist offer clarity and CRM access from the client and clean data from your enrichment sources. Weak inputs reduce output efficiency so youll need to be direct about what you need and when. Manage upstream dependencies actively: report data quality issues flag missing Strategist inputs and request clarification when a brief lacks the inputs needed for accurate delivery.

Youll work closely with sales marketing and growth ops teams as a peer. No jargon. No vendor distance. Youre inside the operation. You communicate directly with clients without a project manager intermediary.

Strategic Ownership

After onboarding you generate your own ideas. You dont wait for a brief. You diagnose bottlenecks early identify which step of the system is causing performance issues (copy list quality deliverability routing or timing) and resolve at that step. You prioritize by revenue impact and build experiments that compound. You think like an operator: whats the highest-leverage thing to ship this week

You build systems that continue functioning after you leave the engagement with no required maintenance from the original builder. A track record of at least one shipped system still running at a previous engagement after you left is the bar.

Youll Thrive Here If You...

1. Have real technical range

You dont need to be full-stack but you need to be sharp with:

  • Python JavaScript or SQL including pandas for cleaning deduplicating and transforming CSV/Excel data
  • APIs webhooks and structured data used as the default approach including when native integrations exist
  • Clay (required) multi-source tables waterfall enrichment formula columns Claygent prompts
  • Make (preferred) or n8n multi-step scenarios with error handling retries and webhooks
  • Zapier Retool Apify and equivalent web scraping tools (BeautifulSoup Playwright) when standard enrichment sources do not return the required data
  • LLM API integration (Claygent OpenAI Anthropic) into production workflows with prompts that produce consistent and accurate output
  • CRM configuration (HubSpot Zoho or Salesforce) workflows custom objects lead routing lead scoring bidirectional sync
  • Debugging fast and using AI as a co-pilot not a crutch

You learn new tools on your own. You figure things out before asking.

2. Think in outcomes not tasks

  • You ask why before building something
  • You know what a qualified lead costs why conversion rates matter and how your work connects to a number
  • You describe your work in outcome terms (produced X meetings via Y% conversion) not activity terms (sent X emails)
  • You can explain a multi-step workflow in 60 seconds
  • You communicate in plain language to people who care about results not your stack
  • When a technical decision is challenged you revise it or add reasoning you dont restate the original answer
  • You acknowledge gaps in your knowledge and propose how to resolve them
  • You manage your own priorities without being managed

3. Operate like you own it

  • You can spot a broken funnel before anyone tells you
  • You improve a process before you automate it
  • You treat client systems like your own with urgency ownership and judgment
  • You deliver a working artifact within 72 hours of an unstructured brief
  • Documentation ships with every deliverable handoff docs READMEs Loom walkthroughs are part of the build not an afterthought
  • You plan for failure modes (enrichment fallback deduplication sync failures deliverability blacklist) before they break the system
  • The best signal we look for: operators who ship something valuable in week one without being asked

How It Works

This is not a full-time role. Youll be matched to client engagements based on your availability and skill fit working fractionally inside one or more client teams at a time.

Once youre vetted and onboarded into the ATQ network deployment is the next step. From day one youre embedded inside the clients tools: Slack HubSpot Notion Salesforce. You operate as part of their team not as an outside vendor.

Work is structured around Capacity Units (CUs) defined outputs with clear scope not open-ended time commitments. You are paid for what you ship.

With ATQ you are paid fairly and your reputation travels with us across every project.



Requirements

Hard requirements (must have)

  • Clay multi-source tables waterfall enrichment formula columns Claygent prompts
  • Make or n8n multi-step scenarios with error handling retries webhooks
  • Python JavaScript or SQL (at least one)
  • APIs and webhooks as the default integration approach
  • LLM API integration (Claygent OpenAI or Anthropic) into production workflows
  • CRM configuration on HubSpot Zoho or Salesforce workflows custom objects routing scoring bidirectional sync
  • Track record: at least one shipped system still running at a previous engagement after you left
  • Fluent in English

Working knowledge expected

  • Apify or equivalent web scraping (BeautifulSoup Playwright) when standard enrichment fails
  • Zapier Retool
  • Deliverability ops: domain warmup sender rotation content variation blacklist monitoring
  • Composite scoring across firmographic technographic hiring funding intent behavioral signals
  • Failure-mode planning: enrichment fallback deduplication sync failures deliverability blacklist
  • 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 (handoff doc README Loom)
  • Communicate directly with clients no PM intermediary
  • Manage your own priorities and blockers
  • Report upstream data and strategy quality issues dont work around them


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.




Required Skills:

// Hard requirements (must have) // - Clay multi-source tables waterfall enrichment formula columns Claygent prompts - Make or n8n multi-step scenarios with error handling retries webhooks - Python JavaScript or SQL (at least one) - pandas for CSV/Excel cleaning and transformation - APIs and webhooks as the default integration approach - LLM API integration (Claygent OpenAI or Anthropic) into production workflows - CRM configuration on HubSpot Zoho or Salesforce workflows custom objects routing scoring bidirectional sync //Working knowledge expected// - Apify or equivalent web scraping (BeautifulSoup Playwright) when standard enrichment fails - Zapier Retool - Deliverability ops: domain warmup sender rotation content variation blacklist monitoring - Composite scoring across firmographic technographic hiring funding intent behavioral signals - Failure-mode planning: enrichment fallback deduplication sync failures deliverability blacklist //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 (handoff doc README Loom) - Communicate directly with clients no PM intermediary - Manage your own priorities and blockers - Report upstream data and strategy quality issues dont work around them

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 inside their tools their Slack their stack and del...