Privacy Governance Lead

About Anthropic

Anthropics 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

Anthropics Integrity & Compliance (I&C) function is building the systems that let us scale responsibly as our products reach more people more enterprises and more regulated industries. Our global compliance program is bespoke reflecting our unique mission and position as one of the leading AI labs operating on the frontier.

Within Integrity & Compliance the Privacy Programs pillar owns how we operationalize privacy across the company from how we handle personal data in our products and research to how we meet our obligations under the GDPR CCPA and the growing patchwork of global privacy law. We work closely with our Privacy Legal team on all privacy related matters.

Were hiring a Privacy Governance Lead to own the governance backbone of that work. Youll set the strategy for how privacy governance operates at Anthropic define the policies and controls that translate privacy principles into operating practice and help manage the relationship with internal and external stakeholders who depend on that framework holding up under scrutiny.

This is a foundational role with significant scope. Youll be shaping a privacy governance function from a relatively early stage with the autonomy to set the standard and the mandate to drive cross-functional change. Youll partner closely with Privacy Legal Security Product Research and the wider I&C team and youll contribute directly to reporting that reaches the Audit Committee and boards. Youll report to the Head of Integrity & Compliance.

Key responsibilities

• Set the strategy and roadmap for Anthropics privacy governance framework including the policies standards and internal controls that map to GDPR CCPA/CPRA and other applicable global privacy regimes

• Own the privacy documentation lifecycle end-to-end Data Protection Impact Assessments Records of Processing Transfer Impact Assessments and other accountability artifacts including the methodology the tooling and the quality bar

• Establish governance forums and approval workflows for privacy-significant product research and vendor decisions and chair the forums where novel or high-risk questions are resolved

• Own the privacy controls testing program: define what good looks like set the testing cadence and present results to the Head of Integrity & Compliance and other leadership forums

• Partner with Privacy Legal to anticipate emerging privacy law and translate new obligations into concrete control changes ahead of enforcement

• In partnership with Legal co-lead privacy regulator engagement on governance matters including responses to inquiries audits and complaints

• Oversee the management of inputs for regulatory responses with the Privacy Program pillar

• Drive privacy training and awareness strategy for engineering product research and go-to-market teams calibrated to the actual decisions those teams make

• Represent the privacy governance function in Internal Audit reporting and in cross-functional risk and compliance forums

• Build and develop the privacy governance team over time

Minimum qualifications

• Deep working knowledge of GDPR and at least one major US state privacy regime (CCPA/CPRA or equivalent) including how their requirements translate into operational controls at scale

• Demonstrated track record building scaling or transforming a privacy governance program end-to-end policies DPIAs ROPAs controls libraries governance forums and the operating model that supports them

• Strong written communication with the ability to produce clear policies board-ready reporting and practical guidance that engineering and product teams will actually use

• Comfort owning hard cross-functional decisions and operating across legal technical and operational boundaries

• A privacy certification such as CIPP/E CIPP/US or CIPM or equivalent demonstrated expertise

Preferred qualifications

• Senior privacy governance leadership experience at a technology company operating under multiple privacy regimes simultaneously ideally including one with novel data processing (AI/ML large-scale platforms or similar)

• Direct experience engaging privacy regulators particularly EU data protection authorities or the Irish DPC on governance matters such as inquiries audits or complaints

• Familiarity with AI-specific privacy considerations: training data governance model memorization output filtering and the intersection with emerging AI regulation

• Experience standing up governance functions in a high-growth environment including building from a blank page

• Demonstrated experience presenting to Audit Committees boards or equivalent senior governance bodies on privacy matters

• Background that bridges privacy and broader compliance disciplines (security regulatory ABAC enterprise risk management)

Role-specific policy: For this role we expect staff to be able to work from either our Washington DC San Francisco or New York City 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.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process