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Description
What you will do:
- Build the GTM AI Brain from scratch: agents, copilots, internal applications, automations, and the data plumbing underneath.
- Partner daily with the VP of RevOps to translate revenue workflows (pipeline, forecasting, routing, renewals, expansion, account research, sales prep, CRM hygiene) into shipped software.
- Own the technical architecture end to end: stack choices, data model, integrations, eval harness, observability, and human-in-the-loop patterns.
- Integrate the systems where GTM work lives: Salesforce, Clay, Gong, HubSpot, Slack, Google Workspace, billing, and marketing automation.
- Build reusable patterns for LLM-powered applications: retrieval, tool use, structured outputs, evaluations, permissions, monitoring, and review workflows.
- Use agentic coding tools (Claude Code, Cursor, Codex) as a force multiplier. We expect one engineer with these tools to do what a small team used to.
- Contribute strong technical input into build-vs-buy decisions, with a bias toward reducing SaaS sprawl when we can build something better and faster ourselves.
- Define what “good” looks like through evals before launch, then measure real business impact: productivity, conversion, forecast accuracy, retention, customer experience.
- Set the engineering standards for AI-native GTM systems at DISQO as this capability scales.
- Are you interested in this position?
Apply by clicking on the “Apply Now” Button below!
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