Engineering Manager - CI Infrastructure
Anthropic
About Anthropic
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.
About the role:
Anthropic is seeking an experienced engineering leader to manage our Continuous Integration team that enables engineers to be maximally effective in a secure, safe, fast and high quality way, developing state-of-the-art models and products. You'll lead initiatives to build the best large-scale CI system in the world.
Responsibilities:
- Manage a team of engineers building world-class developer productivity tools and infrastructure
- Consult with different stakeholders to deeply understand developer needs, identifying potential solutions to support secure and efficient development
- Set strategy and oversee development of CI test infrastructure, and release processes that enable rapid innovation while maintaining high security standards
- Hire and coach top technical talent
- Design processes that help the team operate effectively and continuously improve developer productivity as the organization scales
- Drive adoption of AI tools to guide developers and increase productivity
- Ensure seamless integration of model improvements into the development flow
- Work closely with Researchers as well as Software Engineers, catering to each of their unique needs and identifying potential opportunities to serve both
You may be a good fit if you:
- Have 3+ years experience managing technical teams of more than 6 people
- Have strong leadership ability; experience managing and growing senior engineers
- Have passion for developer productivity and tooling
- Have excellent communication skills to build consensus with stakeholders
- Possess deep knowledge of modern development practices, source control, CI/CD pipelines, and developer tooling.
- Are obsessed with security, scalability, and continuous improvement
Strong candidates may also have experience with:
- Experience building tools and environments for AI/ML development
- Expertise in security and privacy best practices for development infrastructure
- Experience managing initiatives across multiple products/teams
- Experience with large scale monorepos and enabling hundreds of developers to collaborate effectively together
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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 we're different
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.
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process