Hybrid Recruiter in London

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 RoleAnthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas).This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run.Key ResponsibilitiesOwn full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and closePartner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategiesSource and engage high-quality active and passive candidates, building diverse and competitive pipelinesRun structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring barManage candidates through the process with clear communication and a great experience at every stageCollaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to closeUse data to track pipeline health and share insight that helps hiring managers make good decisionsMinimum Qualifications6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiringDemonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment normsTrack record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environmentsComfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbookProven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline sizeSelf-starter who can work with significant autonomy while staying tightly aligned with global strategyGenuine connection to Anthropic's mission and an understanding of why it matters in a recruiting contextPreferred QualificationsExperience recruiting at a high-growth technology, AI, or machine learning companyExperience recruiting across both G&A and GTM functionsExperience hiring across multiple EMEA markets, including the UK and IrelandFamiliarity with Greenhouse or similar ATS platformsAdditional European language skills relevant to hiring across the regionThe 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.Bachelor’s degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-based hybrid policy: 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 think AI systems like the ones we're building have enormous social and ethical implications. 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. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.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. Learn about our policy for using AI in our application process.