About the role
About Buildkite Buildkite's CI/CD platform is trusted by the world's leading engineering teams — Uber, OpenAI, Shopify, Airbnb, Canva, Pinterest — and ships software to over a billion daily users. We've been remote-first since 2013, and around 75% of the company has an engineering background. We're at a massive inflection point. Workloads on the platform have doubled in the last three months on an already large base, and customers are asking us to support 5–10x workload growth this year. We're shifting from incremental progress to making bigger bets while scaling the platform underneath. Our engineering teams work across AU/NZ and US Pacific time zones — a deliberate choice that lets us move fast with real-time collaboration. At the moment, we are prioritising candidates who are based in these regions.
The role; We're hiring a VP of Product Engineering to lead the teams building the products our customers depend on every day — Pipelines, Test Engine, Packages, Agents & Compute, and Releases. Reporting to the CTO, you'll be accountable for the pace, quality, and impact of product delivery across these teams, and for developing the engineering managers and technical leaders who lead them. This is a role for someone who thinks in outcomes, not outputs. Someone that pushes boundaries, makes the seemingly impossible possible and continues to deliver exceptional products for our customers. You'll be measured on what ships, what customers adopt, and the strength of
the team you build. Why this role is rare; The combination of things going on here doesn't come up often: Gnarly problems, not abstractions. Buildkite runs continuously, can't be paused, and experiences partial failure as a normal operating condition. The systems carry stateful guarantees for the companies pushing the most code in the world. Migrations, rollouts, reversibility, and live operations are real engineering problems with real consequences. Scale that's already real, before you start. Software shipped through Buildkite reaches over a billion daily users. The customer list — Uber, OpenAI, Shopify, Airbnb, Canva, Pinterest, and most of the frontier AI labs — sets the bar for "scale" externally, not internally. You don't have to argue for why your work matters. Five product teams, one mandate. Pipelines, Test Engine, Packages, Agents & Compute, and Releases — each at a different maturity stage, each with a different growth profile, all with their own nuance. You set the trade-offs and the priorities across the portfolio. A pace that demands decisions. Workloads have doubled in the last three months.