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hillock.

AI GTM Engineer

Reposted Yesterday
Remote or Hybrid
Hiring Remotely in Toronto, ON, CAN
Mid level
Remote or Hybrid
Hiring Remotely in Toronto, ON, CAN
Mid level
Design, build, and maintain production-grade AI-powered go-to-market automations (prospecting, lead scoring, campaign orchestration, attribution). Integrate ML/LLM tools into marketing and sales workflows, track business-critical metrics, ensure reliability and scalability, and collaborate with GTM strategists and non-technical stakeholders to drive measurable pipeline and revenue outcomes.
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The Reality

Most companies claim to be “AI-powered”—but treat LLMs as a magic API. At hillock., you won’t be shipping “proofs of concept”; you’ll engineer production-grade systems that actually move the revenue needle for clients.

What You’ll Actually Do

You’re the engineer who turns “Our engine found 847 high-intent prospects matching your ICP” into automated pipelines that generate measurable pipeline and revenue. This isn’t about building demos; it’s about shipping reliable AI-powered systems that let client execs sleep at night.

AI System Design & GTM Automation
  • Turn proprietary ICP and market research into robust go-to-market automations—whether programmatic outreach, SEO, ABM, or influencer marketing—using AI/ML tools and frameworks.

  • Eliminate random acts of marketing: Architect data-driven, repeatable GTM workflows instead of hand-crafted campaign hacks.

  • Drive measurable results: Enable 73% of clients to hit pipeline targets in Q1 through automation and precision—not “one-size-fits-all” playbooks.

Technical Execution & Performance Tracking
  • Build, deploy, and maintain AI-powered GTM tools and integrations—think automated prospecting, lead scoring, campaign orchestration, and attribution systems.

  • Prioritize business-critical metrics: pipeline velocity, cost per qualified lead, revenue contribution—not vanity stats.

  • Ensure reliability and scalability: ship software that works across multiple client accounts without constant babysitting.

Cross-functional Collaboration
  • Work directly with GTM strategists and client leads who have taken companies from zero to $100M ARR—we make sure engineering aligns to business impact.

  • Communicate technical concepts to CEOs/CMOs and non-technical stakeholders, translating AI possibilities into commercial outcomes.

  • Collaborate on internal product development that multiplies humans with automation—not replaces them.

What We’re Looking ForThe Essentials
  • 3+ years building production software in GTM/growth, marketing tech, data engineering, or AI/ML environments (track record > tenure).

  • Experience deploying and integrating ML, LLM, or automation tools into real-world marketing or sales workflows.

  • Comfort juggling multiple projects and priorities—delivering predictable outcomes at pace.

What Sets You Apart
  • You see marketing as an engineering problem, not just a branding race.

  • Strong with data analysis, pipelines, and workflow automation. You’ve worked with AI-driven platforms, open-source tools, and have a builder’s mindset.

  • Passion for tracking what moves the dial: you debug both code and metrics, and can explain “why it works” to a founder or marketer.

The Real Test
  • You know the difference between fragile AI demos and production-grade automation.

  • Not afraid to push back when commercial ideas exceed what tech can do—or to rapidly prototype until it can.

  • Dismiss buzzwords, prioritize accountability.

Why hillock. Works Differently
  • No Agency Theater: You’ll engineer with direct access to proprietary AI, ICP research, and workflow automation tools that dwarf what most “AI agencies” have.

  • No Random Acts of Marketing: Build unified GTM systems with measurable impact.

  • Real Technical Depth: Collaborate with top-tier strategists and operators, not just “visionaries” with no shipping record.

  • Actually Remote-First: Results matter more than location.

Most GTM engineering roles mean translating vague growth goals into technical hand-waving. Here, you’ll ship production AI that drives revenue—and always know if it’s working.

Ready to engineer the future of AI-powered GTM?
Tell us your best story—where did you save a go-to-market team from technical chaos, or build something nobody thought possible?

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