Teams at FriendliAI

Own the vision, strategy, and roadmap for FriendliAI’s AI inference platform, including model serving, deployment, orchestration, APIs, and developer capabilities. Partner with engineering, research, enterprise customers, and go-to-market teams to improve inference performance, scalability, reliability, usability, and cost. Lead product initiatives from discovery through launch, establish product planning and measurement practices, and mentor Product Managers and Designers.

Design, build, and operate a multi-cluster, multi-tenant Kubernetes fleet for GPU inference. Extend Kubernetes with controllers/CRDs, implement GPU scheduling and autoscaling, own the network data plane, design cross-cluster connectivity and service mesh, drive reliability/SLOs, deliver IaC with Terraform/Helm/GitOps, and collaborate with platform, SRE, and security teams.

Own and evolve core backend microservices for an AI inference platform: build production-grade APIs, multi-tenant SaaS features (auth, RBAC, billing), design OLTP/OLAP data models, collaborate on multi-cloud orchestration, ensure reliability/performance, and drive engineering quality through testing and CI/CD.