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Open nowPosted 367 days ago

AI GTM Engineer

hillock.4 open roles

Where
International
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Your applicationOpen nowAI GTM Engineerhillock. · International

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 367 days ago

The posting

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 For

The 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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