Supply Chain Security & Assurance Lead

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.

The Data Center Security Engineering team owns the security posture of Anthropic-operated data center infrastructure, from the physical facility up to the booted node. As Anthropic moves from cloud tenant to operating our own compute footprint at scale, this team provides the same security interface a hyperscaler would: a fleet of trustworthy, attestable machines with a stated posture per environment.

This role sits in the Security Lifecycle Engineering pillar and owns the supply chain and assurance side of that interface: making sure the hardware that enters the fleet is trustworthy before it arrives, building the systems that prove it continuously, and pushing that bar upstream into the vendor and standards ecosystem so we aren't re-vetting every SKU forever.

You'll independently scope and lead Anthropic's data center supply chain security function on a 6-12 month horizon, with substantial independence on direction and approach. The footprint is expanding fast across owned facilities, neocloud partners, and international sites; this function does not exist today and you will build both the program and the engineering that backs it.

• Own supply chain risk management and media protection end to end as the subject matter expert: policy and plan, supplier assessment and tiering, contract security requirements, component integrity and disposal standards
• Partner with Legal Security on contract terms and risk acceptance: translate what Anthropic needs into terms vendors can actually meet, find the position that protects us without killing the deal, and own the documented trade when we accept less than the ideal
• Design and build the supplier-risk and hardware approval systems in our data platform: the data model, the scoring logic, and the evidence pipeline that turns vendor assessments and component verdicts into queryable, auditable state that deal-gating and audit consumers depend on
• Lead partner security engagement across the compute portfolio: own the security exhibits, the questionnaire and assessment cycle, and the cadence with neocloud and silicon vendors so platform engineers stay focused on technical vetting rather than vendor meetings
• Drive industry participation that compounds: shepherd hardware vendors through third-party hardware security certification, author and land Anthropic's secure-DC and platform-security requirements with silicon and OEM partners (NVIDIA and others), and represent us in OCP and equivalent forums so the ecosystem does our vetting for us
• Coordinate across security, compliance, legal, and infrastructure teams with minimal senior direction; you set the roadmap for this function and the org follows it

• 10+ years in data center hardware operations, supply chain security, or hardware security at hyperscaler scale, with at least the last several spent independently directing a function
• Built and run a data-bearing-device, media protection, or component traceability program from inception, including the tooling and data systems behind it, not just the policy
• Deep, practitioner-level command of supply chain risk management frameworks (NIST 800-161, NIST 800-53 supply chain and media protection control families, or equivalent) and the evidence model auditors expect for them
• A track record of authoring security requirements that landed in vendor and partner contracts and held through delivery
• Experience representing an operator in standards bodies or industry working groups (OCP or equivalent) and changing what those bodies ship
• Enough engineering depth to design data models and evidence pipelines and review the implementations critically, even when you're not writing every line
• Outstanding written and verbal communication across engineering, operations, legal, and executive audiences
• Low ego and high empathy; this role succeeds by making other teams faster, not by gatekeeping
• Passion for AI safety and the role trustworthy hardware supply chains play in it

• Directed supply chain security or risk management at a major cloud provider or hyperscaler-scale operator
• Run the security workstream for multi-party hardware programs (silicon vendor + OEM + operator)
• Built supplier risk tiering or hardware approval systems that scaled across hundreds of SKUs and dozens of vendors
• Hands-on background in DC site operations or hardware ops earlier in career

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.