Associate General Counsel, EU Privacy at Anthropic

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Associate General Counsel, EU Privacy


We are seeking an Associate General Counsel, EU Privacy to join our Legal team as our first hire based in Dublin, Ireland. The ideal candidate will have a strong background in EU privacy, data protection, security, and AI, with a proven track record of building robust processes and programs to address complex privacy and data protection issues for the EU and EEA. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's EU privacy and data protection strategy. If you are a collaborative, results-driven professional with a passion for privacy and a desire to make a real impact, we would love to hear from you.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.


  • Develop and implement comprehensive EU privacy and data protection strategies that align with the technology, product, and services Anthropic is building and our overall company goals
  • Provide expert legal advice and guidance on privacy, data protection, and direct marketing laws, regulations, and best practices, with a focus on European jurisdictions
  • Collaborate with cross-functional teams to design and implement privacy-by-design principles in product development, particularly in the realm of emerging technologies and AI
  • Build and maintain relationships with key regulators and stay abreast of emerging legal and regulatory developments in the privacy and data protection landscape
  • Lead the development and execution of privacy impact assessments, training programs to employees, data protection audits, and other compliance initiatives
  • Draft, review, and negotiate contracts and agreements related to data processing, data sharing, and vendor management
  • ,

    You may be a good fit if you:

  • Have 8+ years of legal experience, in addition to in-house experience preferably in startup or high-growth environments 
  • Have a law degree and are qualified to practice as a lawyer in at least one member state of the European Union
  • Have a deep knowledge of the General Data Protection Regulation (GDPR) and ePrivacy Directive and their practical application in a global context
  • Have extensive experience advising on privacy, data protection, and direct marketing laws, regulations, and guidance in Europe
  • Have a strong understanding of the interplay between privacy, security, and AI, and the ability to provide strategic guidance in these areasHave excellent leadership skills and the ability to drive projects forward in a fast-paced, hands-on environment
  • Have exceptional communication and stakeholder management skills, with the ability to build strong relationships with regulators, internal teams, external partners and experience speaking to media
  • Have proven ability to think strategically and translate complex legal concepts into practical business solutions
  • Have full professional fluency in English; proficiency in additional European languages is a plus
  • ,

    Strong candidates may also:

  • Possess a deep understanding of data protection regulations in other jurisdictions, enabling them to support the organization's global data protection efforts
  • Have experience with privacy-enhancing technologies and their implementation in a business setting
  • Demonstrate a track record of successfully managing data breach incidents, including coordinating with relevant authorities and communicating with affected individuals
  • Have knowledge and experience with other EU regulations like the EU AIA, Digital Markets Act, Digital Services Act, EU Copyright Directive preferred
  • Have a network of contacts within the data protection community, allowing them to stay informed about best practices and share knowledge with peers 
  • Logistics
    Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

    Deadline to apply: None. Applications will be reviewed on a rolling basis.

    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.

    Compensation and Benefits*
    Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

    Equity - On top of this position's salary, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

    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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

    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 based 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.

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