Make intelligence open and accessible to all. Backed by Battery, Lightspeed and Sequoia.
About the role
Reflection's Shared Services team builds and operates the shared services that power our research, training, and production environments the systems multiple teams depend on for model development, deployment, and evaluation. Sharding, replication, coordination, high-concurrency correctness, and tail-latency under real load are genuinely hard systems problems, and everything above us assumes this layer just works.
What they're looking for
- Experience building, mentoring, and growing engineering teams while staying technically hands-on
- Deep distributed-systems engineering experience, with real ownership of production-grade systems at scale
- Strong coding ability and the credibility to earn the technical trust of a strong team
- Depth in at least one of the team's core areas — distributed systems architecture, service reliability, or the container/service platform — with the ability to learn the rest
- Fluency with the reliability toolkit: SLIs/SLOs, on-call, sharding and replication, coordination services, and tail-latency optimization
- Ability to guide strategy and drive execution in a fast-moving, zero-to-one environment, and to partner effectively with research and training teams
More about this role
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Shared Services team builds and operates the shared services that power our research, training, and production environments the systems multiple teams depend on for model development, deployment, and evaluation. Sharding, replication, coordination, high-concurrency correctness, and tail-latency under real load are genuinely hard systems problems, and everything above us assumes this layer just works.
As Shared Services Lead, you'll provide leadership of the team that builds these services. You'll build, mentor, and grow the engineers who own this layer, guide the technical and architectural decisions that shape it, and work closely with our research and training teams to turn their needs into reliable platform primitives. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work.
Build, mentor, and...
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