Anthropic · 4 hours ago
Engineering Manager, Inference Developer Productivity
San Francisco, CA | New York City, NY
Full-time
Hybrid
Mid, Senior Level
$405K/yr - $485K/yr
3+ years expAnthropic is a public benefit corporation dedicated to creating reliable and beneficial AI systems. They are seeking an Engineering Manager to lead a new team focused on enhancing developer productivity within the Inference organization, ensuring engineers can effectively build, test, and ship inference software.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Build and lead a high-performing team focused on developer productivity for the Inference organization, hiring engineers who combine infrastructure expertise with a service-oriented mindset
Own accelerator toolchain management across GPU (CUDA), TPU, and Trainium platforms—keeping compilers, drivers, libraries, and frameworks current, compatible, and well-tested so that Inference engineers can focus on model serving rather than environment issues
Build infrastructure for efficient accelerator usage during development—including devbox environments, automation for pre- and post-landing validation, and shared tooling that reduces the friction of working across heterogeneous hardware
Establish and drive productivity metrics across the Inference org, creating dashboards, alerts, and processes that surface slowdowns early (e.g., smoke tests red for extended periods, build times regressing, toolchain breakages) and ensure rapid resolution
Identify and eliminate inefficiencies across Inference engineering workflows—proactively finding bottlenecks, toil, and friction points that slow down the org, and building systems or driving process changes to address them
Partner with Anthropic's Infrastructure org to align on company-wide developer productivity initiatives, contribute Inference-specific requirements, and avoid duplicating effort while ensuring Inference's specialized needs (multi-accelerator support, large-scale testing) are well-served
Coach and develop engineers on your team, providing clear direction, actionable feedback, and growth opportunities in a fast-moving environment
Qualification
Required
3+ years of engineering management experience, ideally leading infrastructure, platform, or developer productivity teams
Strong technical background in systems engineering, build/test infrastructure, or ML infrastructure—you can go deep on toolchain issues, CI/CD pipelines, and developer workflow optimization
Experience managing toolchains or development environments for compute-intensive workloads (ML training/inference, HPC, large-scale distributed systems)
Familiarity with at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and an appetite to learn the others
A track record of defining and using engineering metrics to drive organizational improvement—you've built dashboards, set SLOs on developer workflows, or led initiatives to measurably improve engineering velocity
Experience partnering across organizational boundaries—you know how to advocate for your team's needs while contributing to shared infrastructure efforts
Strong communication skills and the ability to influence without authority across a technical organization
A genuine passion for making other engineers more productive, and the empathy to understand their pain points deeply
We require at least a Bachelor's degree in a related field or equivalent experience
Preferred
Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale
Background in building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows
Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware
Familiarity with Kubernetes-based development and job scheduling environments
Prior experience in a developer productivity or platform engineering role at a fast-growing AI/ML company
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
Co-Founder and CEO
Daniela Amodei
President and co-founder
Recent News
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