Engineering Manager, Inference Infrastructure
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA
Posted about 2 months ago
or apply directly on Anthropic's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 53 days Anthropic's roles stay open a median of 78 days
- Reposted
- No
- Salary listed
- No 0% of Anthropic's roles list one
- Ghost-job risk at Anthropic
- high 603 stale, 19 reposted of 603 open
- Hiring momentum
- 795 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-25
Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.
About this role
As an Engineering Manager for Inference Infrastructure at Anthropic, you will lead a technical team responsible for the coordination and efficiency of the inference fleet. Your role involves overseeing the technical roadmap, collaborating with various teams to improve system performance, and managing operational processes such as incident response and deployment safety. You will also be accountable for the health and evolution of the system as it adapts to changes in models, hardware, and cloud environments.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.
What you need
- Engineering management experience leading teams on critical-path production infrastructure at scale
- A deep systems background in load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, or high-performance networking
- Experience shipping performance or efficiency improvements in large-scale systems with measurable impact
- Experience running production infrastructure with operational stakes including on-call and incident response
- Results-oriented approach with comfort in balancing throughput, latency, cost, stability, and feature velocity
- Ability to build strong relationships across team boundaries
Nice to have
- 5+ years of engineering management experience
- Experience with LLM inference serving
- Background in cluster schedulers, autoscalers, load balancers, or fleet control planes at scale
- Experience running workloads across multiple clouds
- Familiarity with heterogeneous accelerator fleets
What you get
- Competitive compensation
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space for collaboration
Worth weighing
- No specific mention of remote work flexibility beyond hybrid policy
- The role requires a strong technical background in systems, which may limit candidates without such experience
- The position involves significant responsibility in managing operational processes, which may be stressful
Summarised from Anthropic's posting. Read the full original.
Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.
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