Associate GTM Engineer

At G2, our mission is to make the go-to-market (GTM) engine faster, smarter, and more personalized—powered by AI. We're looking for a hands-on builder with working knowledge of the sales and martech stack who is eager to apply AI to real GTM problems. You’ll partner with Revenue, Marketing, and CS to build, test, and improve AI-powered workflows, with guidance from G2’s GTM Engineer.

-  Support intake & requirements: Work with RevOps, Sales, Marketing, and CS to document workflow requests as clear specs, escalating scope and priority questions to the GTM Engineer.

- Build and ship workflows: Use GPT-4, Claude, n8n, Clay, Exa, and similar tools to build and test workflows from defined specs, and to debug and iterate as feedback comes in.

- Apply sound design practices: Work backward from the desired outcome using critical thinking and UX principles. Understand and follow established patterns for when to use agentic workflows and when to lean on deterministic logic, and raise design questions early.

- Support pilots and enablement: Help roll out workflows with GTM teams, gather rep and CSM feedback, and support adoption through documentation and training

- Track results: Report on hours saved, pipeline influenced, and conversion lifts for the workflows you build.

YOUR KEY IMPACT AREAS WILL BE

- Translate GTM strategy into execution: Operationalize project plans into real-time workflows that drive pipeline growth and faster prospect follow-up.

- Deploy self-serve AI tools: Launch automated + Slack-triggered workflows that reduce prep/admin time by 25–40% and dynamically prioritize accounts.

- Automate connected workflows: Improve hand-offs across Salesforce, Gong, and G2 Intent, cutting time-to-action by 20–30%.

- Support adoption across functions: Increase adoption of GTM tools by 60–80% by aligning AI workflows with how reps and CSMs actually work.

- Contribute to GTM Engineering’s Tooling: Partner with GTM Engineering lead on build-vs-buy decisions, evaluation of third-party models, and extending G2's AI infrastructure for GTM.