Our Client Currently looking for Staff / Sr. Staff Software Engineer, GTM Innovation
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.
What we’re looking for:
- 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.
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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