You will own the development and maintenance of the Buildkite Agent, ensuring high reliability and performance for global engineering teams. You will also participate in team rotations to handle incidents, support solutions, and contribute to the product roadmap.
You will lead the developer experience strategy to double R&D output by optimizing CI/CD, build tooling, and deployment paths. You will also remain hands-on by writing code and integrating agentic coding tools to improve engineering productivity.
You will shape and execute the global developer events strategy, including conferences, workshops, and sponsorships to drive brand awareness and business impact. You will also build scalable operational processes, manage budgets, and analyze event performance to ensure alignment with GTM and sales goals.
You will own the technical direction and architecture of the Releases platform, designing core data models and scaling systems for global engineering teams. Additionally, you will lead cross-system integrations and drive technical strategy to improve release governance and progressive delivery capabilities.
Partner with sales teams to design and demonstrate technical solutions that address customer CI/CD challenges. Act as a technical liaison between customers and product engineering to influence the product roadmap and ensure successful technical implementations.
Own the end-to-end incident management process, including detection, response, and long-term resolution to prevent recurrence. Lead high-impact incident coordination and coach engineering teams on resilience and communication standards.
Drive quantifiable business impact and value realization for a portfolio of high-impact Enterprise customers. Act as the primary owner of the customer relationship, managing adoption, retention, and expansion while shaping the CS operating model.
Act as the technical interface between the community and the product team to accelerate adoption through education and advocacy. Drive a demand engine by creating technical assets, capturing developer signal, and nurturing a community of power users.
Define and lead the technical strategy for machine learning within the Test Engine team, focusing on predictive test selection. Build and scale the ML platform, including data pipelines, model training, and production deployment.
