Buildkite is a company focused on unblocking developers by providing a fast, reliable, and secure software delivery platform. They are seeking a GTM Engineer to build the orchestration engine that powers their go-to-market strategy, focusing on data foundations and workflows that enhance Sales and Brand team operations.
Responsibilities:
- 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
Requirements:
- 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
- Comfort with SQL and lightweight scripting (TypeScript/Python) for integrations, QA harnesses, and workflow glue
- Experience with CRM/data architecture and the realities of 'scale without breaking.'
- Familiarity with intent/ABM systems, plus strong instincts for deliverability and suppression discipline
- Experience operating in developer tools / technical GTM motions (where credibility and trust are the whole game)