GTM Engineer Playbook / Book in progress
GTM engineering for modern revenue operations.
A practical book for RevOps leaders, GTM operators, and technical builders turning revenue strategy into AI workflows teams can run.
Written from current work building internal AI at an NYSE-listed company.
- 01 / Create demandOutbound Research Agent
Turn account signals into grounded research and outreach worth reviewing.
- 02 / Capture demandInbound Qualification Agent
Enrich, qualify, route, and respond while buyer intent is fresh.
- 03 / Retain revenueCustomer Success Agent
Combine usage and conversations to flag risk and prepare the next action.
- 04 / Expand accountsExpansion Agent
Find credible upsell and cross-sell openings from timing, usage, and product fit.
Docs · CRM · calls · tickets · usage · policies
Policy · permissions · review queues · evaluations · feedback
The book shows how to translate revenue policy and process into workflows with clear boundaries, owners, and measures.
01 / What the book gives you
The engineering layer behind modern RevOps.
RevOps defines the operating model. GTM engineering turns it into reliable workflows with data, owners, permissions, human review, and feedback.
- 01
Workflow maps
Trace the trigger, context, action, review point, and feedback loop.
- 02
Four complete builds
Follow outbound, inbound, customer success, and expansion from signal to outcome.
- 03
Production judgment
Decide what to automate, where people stay in control, and what to measure.
03 / Early reader list
Read it before launch.
Join the waitlist for early chapters, working diagrams, and the launch date.
04 / Field guides
Read one guide. Join for the full system.
What is GTM engineering?
The role, the system it owns, how it differs from RevOps, and what to build first.
Read the guide 02AI workflow automation
Design triggers, context, model tasks, human review, failure handling, and measurement.
Read the guide 03AI SDR systems
Build inbound qualification, outbound research, routing, and review around pipeline quality.
Read the guide 04Internal AI systems
Connect company knowledge, account context, tools, permissions, and feedback.
Read the guide