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 have the hunger to define a new system GTM engineering experience; you’ve built systems that power revenue teams, can point to failures and also outcomes Experience sequencing and scripting AI-led tooling such as Metaflow, Clay, Customer.io, and reo.dev (or adjacent toolchains) Sales fluency; you know how sales works in practice, how to identify process gaps, what will be useful to technical Sales team members Marketing fluency; you understand how modern marketing works now as opposed to 2024, beyond personas and ICP, into brand consistency, tailored enrichment and demand capture Agentic workflow maturity; you’ve built and scaled AI-led workflows Systems thinking under constraints: you can take a messy, cross-functional process and design a simple, reliable system that improves it permanently Commercial judgment; you think laterally solving funnel issues, care deeply about ROI and avoid vanity metrics Clear written communication; you document clearly so the system can be trusted, maintained, and improved by others Comfort working async in a high-trust environment where you own problems end-to-end Additional Experience That’s a Plus Comfort with SQL and lightweight scripting (TypeScript/Python) for integrations, QA harnesses, and workflow ... (truncated, view full listing at source)