Staff GTM Engineer

About Buildkite

At Buildkite, our mission is to unblock every developer on the planet. We’ve rethought how software delivery should work and have built a platform that is fast, reliable, secure, and able to scale to the needs of the most demanding high-growth tech companies globally including Airbnb, Shopify, Canva, PagerDuty, Lyft, and Pinterest.

Job Overview

We’re looking for a Staff Go-To-Market (GTM) Engineer to build the orchestration engine powering our go-to-market strategy; the data foundations, agentic tooling and workflows that supercharge how our Sales and Brand teams operate end-to-end.

We need someone who is technically hardcore and commercially fluent. Someone who understands how revenue is actually created: how pipeline moves, why deals stall, what signals matter, how lifecycle works, what “good” looks like in outbound/inbound.

🚀 What You’ll Do

Model a new realm for RevOps

• Map Buildkite’s GTM and brand experience end-to-end
• Build a signal taxonomy across the full customer journey and define what signals are actionable at each stage
• Partner tightly with Sales and Brand to turn ambiguity into clarity

Spike and implement the GTM foundation

• Establish and protect a clean, enforceable data foundation
• Develop a coherent operating system without tool sprawl
• Build workflows that are safe at volume

Build hybrid workflows that supercharge execution

• Design agentic workflows that accelerate human work without removing human judgment
• Implement guardrails and quality controls so agentic output stays trustworthy●
• Build systems that respect reality and provide clarity

Ship “stage plays” moving the funnel

• Devise and ship stage plays across all stages of the customer journey
• Make plays measurable and iterative, learn fast with deep insight, harden what works
• Work side-by-side with Sales and Brand to diagnose funnel friction and ship fixes that stick

Run an OS that compounds

You’ll operate with a cadence that scales beyond any single person

• Foundation loop: keep data trustworthy without manual heroics
• Signal loop: capture→normalise→model→route
• Play loop: prototype→ship→measure→iterate
• Quality loop: eval, sampling and review gates that keep orchestration sharp, safe and on-brand
• Adoption loop: clear, transparent enablement and docs so systems become defaults

Raise the bar for how GTM is deployed

• Document decisions, risks, and tradeoffs like an engineering team, because this is an engineering problem with a commercial impact
• Create standards and reusable components so GTM execution becomes faster and better over time, not more fragile as it scales.

🎨 Skills & Experience We Value

• Engineering background; you’ve shipped and operated production systems, and you hav