Recruiter, GTM

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

Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that bring our work to customers. We’re looking for a Recruiter, GTM to join our Talent team in Dublin and own full-cycle recruiting across our Go-To-Market organization, with a particular focus on Applied AI.

This is a full-cycle individual-contributor role. You’ll partner with Applied AI and GTM leaders to define what great looks like, build pipelines in markets where these roles are still new, and close candidates who have competing offers. Some of the roles you’ll run won’t have an established market benchmark, so you’ll help build the playbook as well as follow it. Priorities shift quickly, and you’ll have real ownership of the searches you run.

Key responsibilities

• Own full-cycle recruiting for Applied AI and broader GTM roles across EMEA, with a focus on London, Paris and Munich, from intake through offer and close
• Run intake sessions that scope the role, calibrate the bar, and challenge hiring managers where expectations don’t match the market
• Screen candidates against the JD with enough technical judgment to separate strong from merely well-presented
• Source and engage active and passive candidates, building diverse and competitive pipelines in markets where talent is scarce
• Run structured, rigorous and candidate-centric interview processes that uphold Anthropic’s hiring bar
• Work with the broader Talent team, People Partners and Compensation to structure offers and guide candidates to close
• Own pipeline health, tracking conversion, calibration and time-in-stage, and use the data to give hiring managers clear recommendations
• Help build and document the Applied AI and GTM hiring playbooks as the team scales

Minimum qualifications

• 4+ years of full-cycle recruiting experience, with a track record of closing strong candidates in competitive markets
• Demonstrated experience recruiting GTM or customer-facing roles in the UK and European markets, with working knowledge of local talent dynamics, compensation norms and employment practices
• Strong stakeholder partnership: you build trust quickly with senior hiring managers in fast-moving environments
• Willingness and ability to build technical depth quickly enough to run credible intake sessions and screens for Applied AI roles
• Proven ability to maintain quality under volume pressure and manage multiple searches at once
• Comfort with ambiguity and with building something new rather than running an established playbook
• Self-starter who works autonomously while staying aligned with global hiring strategy
• Genuine interest in Anthropic’s mission and an understanding of the role recruiting plays in achieving it

Preferred qualifications

• Experience hiring technical customer-facing talent (Solutions Architects, Forward Deployed Engineers, Sales Engineers, or Applied AI/ML-adjacent roles) at an AI, SaaS or high-growth technology company
• Experience recruiting across Sales, Partnerships or Marketing in addition to technical GTM roles
• Experience scoping roles that have no established market benchmark
• Experience hiring across multiple EMEA markets, including the UK, France and Germany
• Familiarity with Greenhouse or similar ATS platforms
• Additional European language skills (French or German especially)

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.

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.