GTM Engineer

Lorikeet

GTM Engineer at Lorikeet developing AI-powered marketing infrastructure and driving pipeline growth through innovative marketing strategies.

Posted 4/14/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Apollo

About the role

Key responsibilities & impact

Build AI-powered marketing infrastructure
Design and operate AI agents that run marketing workflows autonomously — including lead enrichment, campaign personalisation, content production, and signal monitoring
Build experimentation infrastructure that tests messaging, channels, and sequences faster than traditional marketing teams thought possible
Create self-improving systems with evals, feedback loops, and guardrails that get better without constant supervision
Build and optimise outbound engines using Clay, Apollo, RB2B, Unify, Instantly, and similar tools
Surface buying signals (hiring, funding, competitor moves, contract renewals) and route them to sales with full context
Design enrichment workflows that prioritise accounts automatically and identify warm intro paths
Own lifecycle marketing: nurture sequences, re-engagement campaigns, and credit consumption alerts that drive expansion
Run 1:many ABM campaigns targeting industry marketing account lists
Build and iterate on paid campaigns (LinkedIn, Google, Reddit) with rapid A/B testing
Own experimentation velocity: run 4–6 marketing experiments per month with clear hypotheses, metrics, and iteration cycles
Document what works and systematise successful experiments into repeatable playbooks
Track pipeline influence, reply rates, meetings booked, and cost per meeting across all channels

Requirements

What you’ll need

3–6 years in growth marketing, marketing ops, revenue ops, or a hybrid sales/marketing role at a B2B SaaS company
Genuine fluency with AI tools — building with Claude Code, Cursor, or similar, not waiting for someone else to build for you
Experience with the modern GTM stack: Clay, Apollo, HubSpot, Unify, or similar (or demonstrated ability to learn fast)
Quantitative mindset: you think in funnels, conversion rates, cohort analysis, and attribution models
Comfort with ambiguity: we're building the playbook, not executing an existing one
Consulting or product background is a plus — as is experience in growth or as an SDR/BDR
Strong communication skills: you'll work across sales, product, and marketing

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered marketing infrastructurelead enrichmentcampaign personalisationcontent productionsignal monitoringexperimentation infrastructureA/B testinglifecycle marketingaccount-based marketing (ABM)quantitative analysis

Soft Skills

strong communication skillscomfort with ambiguityquantitative mindset