Jobs at Turing

Supports strategic and operational initiatives through research, data analysis, project planning, performance tracking, process improvement, and leadership reporting. The role coordinates cross-functional teams, develops insights and dashboards, monitors milestones, and helps turn ambiguous business challenges into structured plans and actionable outcomes. It offers exposure to strategy, operations, product, engineering, data science, and go-to-market functions in a fully remote environment.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Own product strategy, roadmap, prioritization, and execution across talent, marketplace, vetting, onboarding, trust, and platform workflows. Translate ambiguous problems into requirements, use data and experimentation to guide decisions, shape user experiences, and partner with engineering, design, data, QA, and operations to deliver scalable products.

Own end-to-end delivery of software-engineering data programs, including scope, timelines, quality, throughput, cost, contributor performance, and customer reporting. Coordinate hundreds of distributed engineers, optimize annotation and evaluation workflows, analyze quality data, build automation and reusable playbooks, and serve as the primary client contact for AI research organizations. The role requires technical fluency sufficient to inspect code, tests, workflows, and evaluation results while leading large-scale operational execution.