About The RoleAt 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.
In This Role, You Will: - 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.
Minimum Qualifications:We realize applying for jobs can feel daunting at times. Even if you don't check all the boxes in the job description, we encourage you to apply anyway.
- 2+ years in RevOps, GTM strategy, sales, or a technical/engineering role within B2B SaaS GTM
- Demonstrated success building or supporting AI automation into GTM workflows (lead scoring, pipeline insights, AI summaries, outbound triggers, etc.)
- Technical proficiency to design and implement workflows: general software engineering literacy (how servers and APIs work, how data moves between systems) and an engineer's instinct for choosing and testing the right solution for the job
- Comfortable building and debugging workflows hands-on in a platform like n8n, paired with the curiosity and drive to learn fast and grow in a highly fluid space
- Working familiarity with the sales/martech stack (Salesforce, Salesloft, Gong) plus GenAI and automation tools (Claude, Zapier, Clay, Notion)
- Working knowledge of Salesforce, Snowflake, Looker, and/or equivalent platforms - ideally as a former practitioner or seller who's used these tools day-to-day, not just built on top of them
- Collaborative, with the ability to work with Sales, CS, and Marketing-not just for them
- Bias for speed: quick iteration, hypothesis testing, and continuous learning
About the OfficeIn the US, we are thrilled to already have strong sales talent based remotely in a variety of different locations. Not only do we have a great office & HQ based in Chicago, but many of the revenue leadership team are based locally. Because of this, there is a preference for this person to be based in Chicago and willing to come into the office, but this is not a requirement.
