Staff / Sr. Staff Software Engineer, GTM AI Brain

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.

8+ years of software engineering experience building production-grade systems. Track record of shipping, not just designing.

Zero-to-one builder mindset. You have started something from a blank repo, made the early calls, and gotten real users on it. You are comfortable owning a problem end to end without a team to delegate to.

Strong fundamentals across APIs, databases, integrations, authentication, permissions, observability, and cloud infrastructure.

Proficiency with a modern stack: Python, TypeScript, React, Node.js, SQL, and at least one major cloud platform, ideally AWS.

Hands-on experience building with LLMs: prompt workflows, retrieval, tool calling, structured outputs, evaluations, and agent orchestration. You have shipped something real, not just prototyped.

A point of view on how agents and AI-native systems change the shape of software. You think in terms of evals, latency, token economics, and failure modes, not just features.

Strong product judgment. You can take a messy business problem from a non-engineer partner and converge on the smallest version that proves the idea.

Excellent collaboration with non-engineers. You will spend real time with the VP RevOps, sellers, CSMs, and operators. Translation is part of the job.

Motivation to remain deeply hands-on as an individual contributor.

Direct experience with RevOps systems and workflows: CRM architecture, forecasting, routing, pipeline management, renewals, expansion, compensation, or revenue reporting.

Prior work on internal platforms, workflow automation, or revenue tooling.

Experience embedded with a GTM team as the engineering counterpart.