You will own the release testing and quality strategy for the Runlayer Endpoint across multiple platforms and AI clients. This involves building scalable test infrastructure, automating deployment flows, and integrating quality signals into CI workflows.
Own the end-to-end development of the control plane for the agent lifecycle, including governance, observability, and IAM. Lead discovery with security and IT buyers to translate signals into a ranked product roadmap.
Own the end-to-end development of the agent builder and runtime, focusing on the path from idea to working agent. Drive growth through self-serve paths and define how product telemetry improves agent performance over time.
You will architect and implement authentication and authorization systems for MCP servers and enterprise identity integrations. You will also collaborate with customers to define access control policies and contribute to industry-wide agent identity specifications.
You will own the reliability, performance, and scalability of the infrastructure across cloud and on-prem environments. This includes managing Kubernetes clusters, optimizing databases, and maintaining CI/CD pipelines for rapid deployments.
