Lead, Data Center Security Operations (North America)
San Francisco, CA - USA
Job Summary
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
As Anthropics Lead for Data Center Security Operations in North America you will own the physical security program across our NA data center footprint spanning owned sites and colocation partners. You will partner closely with data center build and operations teams from the earliest design conversations through commissioning and into steady-state operations shaping the security posture that protects some of the most consequential AI compute in the industry.
This role is hands-on and strategic at the same time. Youll be on-site when it matters author the policies and standards that govern the region run the vendor and guard-force relationships that keep our sites secure day-to-day and lead incident response when something happens. Youll also be one of the primary regional voices shaping how security integrates with infrastructure compute real estate and legal partners as Anthropic scales.
You will join a growing Data Center Security Engineering function that is still in build mode. The work is ambiguous fast-moving and changes as strategy changes. We need someone who can set direction without waiting for mature playbooks and who treats security as an enabler of business outcomes.
Responsibilities
You will own a region of North America data center security operations program across owned and colocation sites.
- Youll partner with data center build and engineering teams on new-site design and activation ensuring security scope is defined delivered and turned over to operations cleanly.
- Youll lead the regional vendor portfolio such as integrators guard-force providers and general contractors with meaningful budget and SLA ownership.
- Youll author and maintain the policies standards and SOPs that govern physical security in the region keeping them aligned with company-wide frameworks.
- Youll lead physical security incident response and investigations and youll represent the region in cross-functional forums that shape infrastructure compute and real estate decisions.
You may be a good fit if you
- Have extensive experience operating physical security at hyperscale or at a major colocation operator across multiple sites with direct ownership of the operating model vendors and on-call.
- Have personally led the security scope on new-build data center projects from design through construction commissioning and turnover to operations.
- Have worked across both owned data centers and colocation space and understand how the operator/tenant dynamic changes your controls vendors and incident response.
- Can author physical security policies standards and SOPs that get adopted and followed.
- Drive security outcomes through cross-functional partners (infrastructure construction real estate compliance legal) by shaping decisions not by blocking them.
- Manage a real vendor portfolio integrators guard force general contractors with SLAs budget and performance accountability.
- Adapt well when design and strategy shift mid-stream and can re-scope a program without losing momentum.
- Calibrate security to business reality can explain when you chose not to apply a control and why.
Strong candidates may have
- CPP (Certified Protection Professional) or PSP (Physical Security Professional) certification.
- Experience standing up a data center security function from 01 (not just running an established one).
- Background in a regulated environment critical infrastructure financial services federal/defense or similar.
- Direct experience leading an external audit or customer security review of data center physical controls.
Strong candidates need not have
- A specific university credential or prior employer. We care about what youve built and operated not where.
- Prior people-management experience this role is an IC lead today. If youve led matrixed or virtual teams thats enough.
- Experience in AI or machine learning infrastructure specifically well teach you how our workloads shape the security posture.
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 roles 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:
$405000 - $405000 USD
Logistics
Minimum education: Bachelors 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 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.
Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were 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. Were 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 aboutour policyfor using AI in our application process
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.