Engineering Manager, Scheduler and Fleet Efficiency
Anthropic · San Francisco, CA · New York City, NY
- Level
- Lead
- Type
- full-time
- Mode
- On-site / hybrid
- Posted
- 2026-09-01
- Team
- Software Engineering - Infrastructure
Role description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem.…
Technologies named in the posting
How Rolefit scores this role
- Stack overlap (50%). Every technology named in the posting is compared with your selected stack, weighted by how rare it is across the whole index — a niche match counts for more than Docker.
- Seniority fit (16%). The level in the posting is compared with the level assessed from your years and depth.
- Title alignment (16%). Whether the role is actually pitched at your field rather than adjacent to it.
- Freshness and filters (18%). Newer postings, your work type and your target region all move the score.
The score you see on a shortlist is specific to you — the same posting scores differently for a different stack. Run the assessment once and this role either makes your top 30 or it does not.
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