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.
Anthropic's services change constantly. Application code, infrastructure, and runtime configuration all move to production many times a day. Our Safe Change team builds the continuous-deployment and feature-flagging systems that make those changes safe and reliable. The continuous-deployment platform moves a change through staged promotion, runs health checks at each phase of deployment, and gives service owners the levers to respond the moment something regresses. We provide the tools to modify runtime behavior, roll out configuration safely, and test changes. This team provides the paved path that lets everyone at Anthropic ship frequently without trading away reliability or security.
We're looking for an engineering manager to lead this team. The continuous-deployment platform is already widely adopted across Anthropic, and the mandate is expanding quickly: bringing configuration changes onto the same safe path as code, supporting additional deployment surfaces, building progressive rollouts, and establishing the golden path for safe deployments that every team across the company will rely on. You'll lead a team building infrastructure that nearly every other engineer at Anthropic depends on, and you'll partner closely with product, inference, security, and infrastructure teams to make deployment safety a standard property of the platform rather than something each team reinvents.
Lead and grow a team of engineers building Anthropic's continuous-deployment, configuration, and feature-flagging platforms, owning planning, execution, and delivery against key milestones
Set technical direction for the safe deployment of code, infrastructure, and configuration across Anthropic's services
Partner with product, inference, security, and infrastructure teams to migrate services onto the paved path and make safe deployment the default
Drive the roadmap for progressive rollouts, health-check automation, first-class configuration deployment, and expansion to new deployment surfaces
Define and track the metrics that measure deployment safety and speed and hold the team accountable to them
Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where the platform is still being built out
Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team
Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group
Experience managing and growing a team of software engineers
A hands-on software engineering background as an individual contributor prior to moving into management
Experience building or operating backend, distributed, or infrastructure systems in production
Working knowledge of modern deployment and cloud-native tooling, such as CI/CD pipelines, Kubernetes, and infrastructure-as-code
Excellent written and verbal communication skills, including the ability to create clarity across teams
5+ years of engineering management experience, including leading infrastructure, platform, or developer-experience teams
Experience owning continuous delivery, release engineering, or deployment-safety systems
Familiarity with progressive delivery techniques such as canary or blue-green deployments and automated rollback
Experience with feature flagging or experimentation platforms
A background in observability, health checking, or incident response, and a track record of improving production reliability
Experience treating configuration as a first-class, safely deployed artifact
A track record of building a culture of belonging and of engineering excellence
Low ego, high empathy, and a habit of leading by example
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.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
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.