Engineering Manager, Runtime - Storage

As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind Baseten's inference stack, including the Baseten Delivery Network (BDN), the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next.

Responsibilities

Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise; Run the team's planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence; Provide regular coaching, feedback, and career development support to direct reports; Own on-call health for the team's services, including escalation paths and follow-through on incidents; Guide the architecture and evolution of the Baseten Delivery Network; Shape storage products tailored to Baseten's workloads, extending BDN from model weights to container images, training checkpoints, and deployment artifacts; Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files; Own reliability of the delivery path as a measured outcome; Make the delivery path work across heterogeneous clusters and cloud providers; Review designs and code across the area, and take on hands-on work where it unblocks the team; Champion the team's contributions back to containerd and the snapshotter ecosystem; Act as the point of contact for storage across Baseten; Optimize requirements for underlying storage platforms with the infrastructure team; Manage the team's dependencies in both directions; Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments; Communicate team progress, technical trade-offs, and incidents clearly to the team and leadership

Requirements

Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management; Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure; Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions; Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts; Understanding of how container images are structured, stored, and delivered at scale; Strong written and verbal communication skills, with the ability to influence without authority across teams

Nice to have

Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects; Familiarity with lazy-loading snapshotters or peer-to-peer image distribution; Experience with EROFS, FUSE, ublk, or io_uring; Experience building or operating CDN, object storage, or large-scale caching infrastructure; Experience running storage services on Kubernetes

Benefits

Competitive compensation, including meaningful equity; (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents; Flexible PTO policy including company wide Winter Break; Paid parental leave; Fertility and family-building stipend through Carrot; (U.S. only) Company-facilitated 401(k); Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities