Engineering Manager, Cloud Inference AWS

San Francisco, CA | Seattle, WAFull-TimeManagerSoftware Engineering

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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.

We are seeking an experienced Engineering Manager to lead the Cloud Inference team for AWS. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using AWS. You will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe. Your work will increase the scale at which Anthropic operates and accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms.

Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.
Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving
Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes
Create clarity for the team and stakeholders in an ambiguous and evolving environment
Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team
Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

Have 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management
Have 5+ years of engineering management experience
Experience recruiting, scaling, and retaining engineering talent in a high growth environment
Have experience scaling products, resources and operations to accommodate rapid growth
Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales
Have experience working with external partners to align goals and deliver impact
Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
Have excellent written and verbal communication skills
Demonstrated success building a culture of belonging and engineering excellence
Are motivated by developing AI responsibly and safely
Are willing and able to travel frequently between Seattle and the SF Bay Area

Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
Experience as a Product Manager
Experience with deployment and capacity management automation
Security and privacy best practice expertise
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.