We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance.
Responsibilities
Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in
Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response
Build patch management automation with rapid enforcement timelines while maintaining good user experience
Design zero touch provisioning that turns a sealed box into a productive machine on day one
Support a small number of Linux machines alongside the Mac fleet
Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work
Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls
Take shifts on the team's rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can't resolve
You may be a good fit if you
Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams
Have managed endpoint fleets of thousands of macOS devices through a modern MDM
Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles
Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions
Write Python and shell scripts
Write design docs and runbooks so teammates can review and support what you build
Strong candidates may also have
Have operated an MDM or device management platform as a service, not only consumed one as SaaS
Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg)
Have built automated, progressive rollout systems with promotion gated on telemetry
Have experience running infrastructure as code in a public cloud
Have working knowledge of Linux administration (packaging, systems, config management)
Have used LLMs to automate ops work
Deadline to apply: None. Applications will be received on a rolling basis.
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.
Annual Salary
$285,000—$325,000 USD
Logistics
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
