What are the responsibilities and job description for the Engineering Manager, Product Infrastructure position at Anthropic?
About the role
We’re looking for an engineering manager to lead our product infrastructure team. This team supports the core infrastructure powering the product engineering org. Some examples of what this team owns and works on are our relational datastores, our k8s infrastructure for deploying our products, our RAG platform and more. As you might imagine we’re scaling rapidly, both in terms of the amount of different infra that we support, as well as the scale being put on our infra. We’re looking for a manager with a background in infrastructure to help chart what the future of product infrastructure at Anthropic looks like.
Responsibilities:
- Build and lead a high-performing team of infrastructure engineers focused on storage, container infrastructure, queuing and more
- Help scale our relational datastores to serve an ever growing number of product use cases
- Architect and build scalable service infrastructure and tooling that allows product developers to launch new services effortlessly
- Collaborate closely with product and platform teams to understand their needs and build infrastructure that accelerates their feature delivery
- Make build vs buy decisions, evaluating and implementing 3rd party solutions when most impactful
- Work with your team to set the strategic vision for product infrastructure at Anthropic
You may be a good fit if you have:
- Have 8 years of experience working in infrastructure and 3 years of experience managing an infrastructure team
- Have a strong technical background in storage systems, queuing infra, service management or general infrastructure
- Embody the startup approach of moving fast and iterating - you can help your team find the right balance between speed and polish for each situation
- Experience recruiting, scaling, and retaining engineering talent in a high-growth environment
- Excellent leadership and communication skills, with ability to work effectively across functions
Strong candidates may also have experience with:
- Be obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
- Have experience scaling databases and service infrastructure as a service to broader organizations
- Possess deep knowledge of modern cloud infrastructure including Kubernetes, AlloyDB, Pub/Sub, Kafka
- Have experience building AI applications with LLMs
Deadline to apply: None. Applications will be reviewed on a rolling basis.
