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Engineering Manager Runtime - Storage

Baseten· EPD
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Hybrid (San Francisco)$165k - $330kFull-timePosted 4d ago

About the role

Engineering Manager for Storage Products on the Runtime Fabric team, leading the Baseten Delivery Network (BDN), snapshotters, filesystems, and storage that support AI inference workloads. Owns reliability, mentors a team of systems engineers, and guides architectural direction for caching, content-addressable storage, and distributed filesystems across heterogeneous clusters and cloud providers.

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 your 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: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events
  • Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them
  • 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: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on
  • Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network
  • 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 alongside the maintainers on the Runtime Fabric team
  • Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need
  • Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster
  • Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on
  • Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability
  • Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership

Qualifications

  • 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

Skills

Required:Team leadership and managementDistributed storage systemsGo, Rust, or C/C++

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 (office closed Christmas Eve to New Year’s Day)
  • 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.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Baseten

Inference is everything

Effortlessly serve optimized open source & custom models on the fastest, most reliable model delivery network.

AICloud InfrastructureDeveloper ToolsInference PlatformMachine LearningModel DeploymentModel Runtimesai-infrastructure-and-development
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