Runpod provides a cloud platform for AI development, used by over one million developers for training, fine-tuning, and deploying AI models. The company is a small, remote-first team that closed a $100M Series A in June 2026, emphasizing ownership, speed, and impact at scale.
Define and implement SLIs/SLOs for critical services, lead incident response, and conduct blameless postmortems to drive systemic improvements.
Design and improve monitoring and alerting with Prometheus and Grafana, build internal tooling, and automate operational workflows to reduce toil.
Partner with cross-functional engineering teams to improve system resilience, contribute to architectural discussions, and strengthen production readiness standards.
Own end-to-end design for core areas of Runpod's AI infrastructure platform, from discovery through launch and iteration.
Turn complex workflows across compute, deployment, storage, networking, billing, observability, and AI model operations into intuitive user experiences.
Raise the craft bar through strong information architecture, visual design, interaction design, UX writing, accessibility, and edge-case thinking.