Engineering Manager, Service Infrastructure
Engineering Manager, Service Infrastructure
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$ 320000 - 405000
1 Vacancy
Job Description
About Anthropic
Anthropics 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
Were looking for an engineering manager to lead our Service Infrastructure team and shape the future of how Anthropic builds and deploys AI systems at scale. This team is architecting the foundation that empowers our entire organization to build revolutionary AI products. The team will be a force multiplier across the company by building a best in class kubernetes infra networking stack deployment processes sandboxing infrastructure and more for the product engineering organization. As we scale rapidly both in terms of service count and load we need a manager with strong infrastructure experience to help define the future of our service infrastructure at Anthropic.
Responsibilities:
- Build and lead a highperforming team of infrastructure engineers focused on service management networking deployment processes and local development experience for product
- Architect and build scalable service infrastructure that enables product teams to spin up and deploy services effortlessly
- Develop multicluster Kubernetes and service mesh solutions to support our growing service ecosystem
- Lead the evolution of extending our research infrastructure for use by our product teams (E.g. RL fine tuning or Sandboxing)
- Collaborate with product 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 service infrastructure at Anthropic
You might be a good fit if you:
- Have 8 years of experience working in infrastructure and 3 years of experience managing an infrastructure team
- Have a strong technical background in service management Kubernetes networking CI/CD 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 highgrowth environment
- Excellent leadership and communication skills with ability to work effectively across functions
Strong candidates may also:
- Be obsessed with distributed systems at scale service reliability scalability security and continuous improvement
- Have experience scaling service infrastructure as a service to broader organizations
- Possess deep knowledge of modern cloud infrastructure including Kubernetes Envoy service mesh technologies and CI/CD systems
- Have experience building infrastructure for AI applications with LLMs
- Be passionate about developer productivity and improving the developer experience
Deadline to apply:None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$320000 $405000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.
Locationbased hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.
How were different
We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm 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. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact 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: GPT3 CircuitBased Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues.
Required Experience:
Manager
Employment Type
Full Time
