Pre-training Distributed Systems Tech Lead / Manager

San Francisco, CA · full time · Senior

$500,000 – $850,000

Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Lead the infrastructure team that measures what Anthropic's AI models can do, owning the distributed systems that run evaluations safely and reliably at scale. This role suits experienced engineering leaders with a track record building fault-tolerant systems who care deeply about measurement accuracy and can translate between research needs and infrastructure.

Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

1+ years managing engineers or tech-lead-with-reports experience
Led end-to-end technical projects on large-scale distributed systems
Strong proficiency in Python and Rust
Built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets
Ability to communicate with researchers and translate their needs to infrastructure
Committed to safe AI development

Nice to have

Experience with LLM inference or training infrastructure
Worked on eval or benchmarking systems, especially agentic evals with sandboxed execution
Statistical literacy including variance, confidence intervals, and sample-size sufficiency
Experience with observability and regression detection on time-series metrics