AI go-to-market roles across five functions
Compare substantive AI work in GTM engineering, RevOps, growth, content, and marketing operations using employer examples.
Guides
Understand the work. Build something useful.
Source-checked guides, practical exercises, and hiring worksheets for AI go-to-market work. Start with a role, then see how to do the work or assess it.
Build a GTM job shortlist from constraints and evidence
Use a blank worksheet and three dated employer examples to separate a real mismatch, an evidence gap and an unanswered question before applying.
Measure AI-search work without confusing citations and visits
Use a measurement worksheet and fictional dataset to separate AI citations, search impressions, recorded sessions and useful actions.
Failure-test a GTM AI research workflow before it acts
Run eight local account-research cases to test evidence, freshness and action boundaries, with an inspectable Node checker and answer key.
Your AI-assisted GTM take-home needs a trail of your decisions
Use a decision-log template and a worked growth assignment to show what you checked, changed and rejected when AI assistance is permitted.
A GTM engineer interview exercise: audit a broken inbound workflow
Run a bounded GTM engineering work sample with synthetic data, explicit AI rules, an answer key, and a downloadable evidence-based scorecard.
Build an inbound lead audit for your GTM engineering portfolio
Use a free synthetic dataset and answer key to find routing failures, measure useful response time, and explain a repair in your GTM portfolio.
GTM engineer skills: what employer postings ask you to do
Compare business judgment, data, automation, software, and AI evaluation skills using employer examples and a practical portfolio checklist.
GTM engineer vs RevOps: compare the mandate, not only the title
See where GTM engineering and revenue operations differ and overlap, with employer examples and questions about ownership, outputs, and reporting.
What is a GTM engineer? Eight employer examples
See what GTM engineers build, from revenue data and acquisition workflows to customer success tools and production AI agents.