# Staff / Sr. Staff Software Engineer, GTM AI Brain

**Company:** [DISQO](https://hotfix.jobs/companies/disqo)
**Location:** Los Angeles, CA
**Role:** GTM Engineering
**Salary:** $210k – $235k/yr
**Experience:** 8+ years
**Skills:** Python, TypeScript, React, Node.js, SQL, AWS, LLMs, Salesforce, Retrieval Augmented Generation, Agent Orchestration, Prompt Engineering, Tool Calling, Structured Outputs, Evaluations, Observability
**Posted:** 2026-05-14

> Builds GTM AI Brain from scratch including AI agents, copilots, automations, and integrations for revenue workflows. Requires 8+ years engineering experience, LLM expertise, zero-to-one builder mindset, proficiency in Python/TypeScript/React/Node/SQL/cloud.

## Job Description

## Responsibilities

- Build the GTM AI Brain from scratch: agents, copilots, internal applications, automations, and data plumbing.
- Partner with VP of RevOps to translate revenue workflows (pipeline, forecasting, routing, renewals, expansion, account research, sales prep, CRM hygiene) into shipped software.
- Own technical architecture end-to-end: stack choices, data model, integrations, eval harness, observability, human-in-the-loop patterns.
- Integrate with GTM systems: **Salesforce**, **Clay**, **Gong**, **HubSpot**, **Slack**, **Google Workspace**, billing, marketing automation.
- Build reusable patterns for LLM-powered applications: retrieval, tool use, structured outputs, evaluations, permissions, monitoring, review workflows.
- Use agentic coding tools (**Claude Code**, **Cursor**, **Codex**) as force multipliers.
- Contribute to build-vs-buy decisions, bias toward reducing SaaS sprawl.
- Define evals before launch and measure business impact: productivity, conversion, forecast accuracy, retention, customer experience.
- Set engineering standards for AI-native GTM systems.

## Requirements

- 8+ years software engineering experience building production-grade systems; track record of shipping.
- Zero-to-one builder mindset; started from blank repo, owned end-to-end without delegation.
- Strong fundamentals: **APIs**, **databases**, integrations, authentication, permissions, observability, cloud infrastructure.
- Proficiency: **Python**, **TypeScript**, **React**, **Node.js**, **SQL**, major cloud platform (ideally **AWS**).
- Hands-on LLM experience: prompt workflows, retrieval, tool calling, structured outputs, evaluations, agent orchestration; shipped real systems.
- Point of view on agents/AI-native systems: evals, latency, token economics, failure modes.
- Strong product judgment; converge messy business problems to minimal viable proof.
- Excellent collaboration with non-engineers (RevOps, sellers, CSMs, operators).
- Motivation to remain hands-on individual contributor.

## Nice to Have

- Direct experience with RevOps: CRM architecture, forecasting, routing, pipeline, renewals, expansion, compensation, revenue reporting.
- Prior work on internal platforms, workflow automation, revenue tooling.
- Experience embedded with GTM team as engineering counterpart.

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**Apply:** https://hotfix.jobs/jobs/577743b3-5721-4a4a-9767-a177bd430fb4
**Canonical:** https://hotfix.jobs/jobs/577743b3-5721-4a4a-9767-a177bd430fb4