AI GTM Engineer

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.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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?