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.
Anthropic's Supplier Security & Assurance (SSA) team sits within Security GRC and is responsible for assessing the security of our suppliers: evaluating whether vendors meet our security requirements, capturing the deviations, and giving the business a clear approval decision it can act on. We assess the vendor population a frontier AI lab actually depends on: SaaS and software, human data operations, compute and data center providers, hardware suppliers, and services firms. The program is designed agent-first so that people spend their time on judgment, remediation, and the vendors that matter most.
As a member of the Supplier Security & Assurance team you will run supplier security assessments end to end: reviewing evidence, verifying agent-drafted evaluations, determining inherent and residual risk, and driving findings to closure with vendors and business owners. You will also carry the work that extends assurance past the approval, from contractual security terms and secure configuration baselines to continuous monitoring and reassessment, and you will help shape the tooling and requirements the program runs on.
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Run supplier security assessments: review agent-prefilled outputs, evaluate vendor controls and evidence, determine residual risk, route to domain reviewers where deeper assessment is warranted
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Operate supplier issue management and risk treatment: document each finding with a severity, an owner, and a due date, drive remediation with the vendor and the business owner, record risk acceptances, and roll open issues up to the risk register
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Run continuous monitoring after approval: reopen an assessment on defined triggers (data classification change, new SOC 2 report, new subprocessor, vendor incident), investigate SaaS configuration, data, and use case drift signals, and queue a reassessment where the vendor's scope has moved
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Improve the program as you run it: identify gaps in coverage, questionnaires, requirements, and tooling that surface during assessments, propose the fix, and carry roadmap items that mature supplier security overall
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Tune and maintain our Claude-powered assessment platform alongside the team: prompt development, questionnaire and assessment type design, calibration against assessor decisions, and output QA
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Contribute to KPI and KRI reporting on coverage, cycle time, residual risk, open issues, and reassessments due
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Experience running supplier security assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure
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Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn't in a framework
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Ability to assess a vendor across security domains, and to recognize which findings you can close yourself and which need a security domain specialist
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Track record of driving risk treatment to closure through influence across teams with competing priorities
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Experience building or tuning an LLM-backed workflow, agent, or automation in a risk, compliance, or operations context, including tuning prompts and reviewing model output for accuracy
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Experience building or operating issue management workflows: logging issues with a clear owner and due date, tracking remediation, and escalating when treatment stalls
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Working technical knowledge of SaaS security configuration (SSO and SCIM, admin scoping, sharing defaults, audit log export) and of standard vendor security contract terms (DPA, incident notification, subprocessors, audit and testing rights)
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Ability to read a SOC 2 report or penetration test and turn it into findings: identify control exceptions and carve-outs, map complementary user entity controls, and judge what the evidence does and does not prove
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.
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.