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.
Buildkite
9 Remote Job Openings at Buildkite
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.
Independently resolve highly technical CI/CD, software, and infrastructure issues for enterprise customers while collaborating with engineering teams. Design and implement scalable tools and processes to enhance the customer experience.
Build and manage the orchestration engine for go-to-market strategies, including data foundations and agentic workflows. Partner with Sales and Brand teams to diagnose funnel friction and implement scalable, measurable 'stage plays' across the customer journey.
Own the end-to-end data architecture strategy and technical decisions to build a platform accessible to both humans and AI agents. Design the stack including query engines, semantic layers, and ingestion patterns while remaining hands-on to resolve bottlenecks.
Own L3 escalations end-to-end by diagnosing root causes and shipping fixes into the Ruby on Rails monolith. Identify recurring support patterns to drive systemic product improvements and lead engineering efforts during production incident responses.
Lead five product engineering teams to ensure the velocity, quality, and reliability of delivery for core platform products. Manage engineering managers and technical leaders while aligning product strategy with technical execution and architectural consistency.
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.
