AI Compliance Officer

Anthropic

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. About the role As frontier AI regulation matures globally — with the EU AI Act, evolving US state and federal frameworks, the UK's framework, and emerging regimes across APAC — Anthropic needs a dedicated owner for the compliance program that translates these obligations into operational reality. We're hiring an experienced AI Compliance Officer to design, build, and run that program. You'll sit within Anthropic's Integrity & Compliance function and partner closely with Regulatory Legal, Policy, Product, Security, Safeguards, and the Responsible Scaling team. You will own the systems, processes, controls, documentation, and cadences that make Anthropic's compliance with frontier AI regulation defensible to regulators, auditors, and our Board. This is a senior role with significant scope to shape how a leading AI lab approaches a brand-new and rapidly evolving area of regulation. You'll report to the Head of Integrity & Compliance. Key responsibilities - Own the design, build-out, and ongoing maintenance of Anthropic's compliance program for frontier AI regulation across the EU AI Act and other in-scope global regimes - Serve as owner of compliance policies for AI governance regulation, and as an accountable reviewer of regulator-facing documentation - Partner with Regulatory Legal on regulator engagement, regulatory strategy, and external communications; maintain the regulator engagement log and ensure coordinated responses - Own the compliance controls framework, ensuring controls are appropriate, kept current, tested on a defined cadence, and mapped back to specific regulatory obligations - Own specific second-line compliance controls directly - Define the testing and monitoring program for AI governance controls, and lead audit and regulatory inspection readiness - Recommend compliance readiness plans for new or amended regulations, in alignment with Regulatory Legal's gap analysis - Present compliance program status, metrics, and material risks to leadership and the Board on a regular cadence; coordinate inputs from partner teams - Own training content for AI regulatory obligations, partnering with Legal on sign-off where materials convey legal positions - Build and lead a small team as the program scales Minimum qualifications - Experience building or running a compliance program in a regulated industry (e.g., technology, financial services or fintech, medical devices, data protection, or telecoms) - Hands-on experience operationalizing a complex regulatory regime end-to-end, including translating legal requirements into controls, documentation, training, and reporting - Demonstrated ability to work effectively in genuine ambiguity: novel regulation, evolving regulator expectations, and a fast-moving product environment - Experience engaging directly with regulators and building trusted relationships across jurisdictions - Strong written and verbal communication skills, with the ability to engage credibly with legal, technical, and executive audiences - Experience presenting to a Board, Audit Committee, or equivalent governance body Preferred qualifications - 8+ years of experience in regulatory compliance, with meaningful time spent owning a program rather than supporting one - Direct experience with the EU AI Act, NIST AI RMF, ISO/IEC 42001, SB 53, or comparable AI governance frameworks - Experience standing up a second-line compliance function at a technology company - Background in regulatory engagement, including drafting filings, responding to regulator inquiries, or supporting examinations - Familiarity with how AI systems are developed, evaluated, and deployed, even from a non-technical background - Relevant certifications such as CCEP, CIPP/E, or IAPP AIGP - Genuine interest in getting AI governance right and helping build this program from the ground up Role-specific policy: For this role, we expect staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: €200.000 - €255.000 EUR 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.