Privacy Program Manager

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's Privacy Program team sits at the intersection of Legal, Engineering, Product, and Research — translating complex privacy requirements into practical, scalable implementation across our products and internal systems. As a Privacy Program Manager, you will own the operational backbone of Anthropic's privacy program, ensuring that privacy controls are not just documented but auditable, verifiable, and continuously improving.

This role is equal parts program management and hands-on privacy work. You'll partner closely with Product and Privacy Counsel, Privacy Engineering, and product teams to embed privacy-by-design into how we build and ship AI products — from consumer features to enterprise deployments. You'll bring technical depth and privacy expertise to understand data flows, system architectures, and user data handling workflows, combined with the program management rigor to drive cross-functional initiatives to completion.

Responsibilities:

• Design, implement, and maintain auditable privacy controls across Anthropic's products and internal systems, including automated control monitoring and remediation workflows
• Partner with Product and Privacy Counsel to run and continuously improve privacy review processes for new product launches, features, and integrations
• Drive enterprise privacy readiness across key verticals (e.g., HIPAA, financial services, education), translating regulatory requirements into concrete product and engineering work
• Collaborate with Privacy Engineering to scope and prioritize privacy-enhancing improvements to product features, data pipelines, and user data handling workflows
• Create and maintain internal privacy guidance, best practices documentation, and training materials that enable cross-functional teams to build with privacy in mind
• Manage privacy program operations including tracking privacy debt, coordinating remediation efforts, and reporting on program health metrics
• Serve as a key bridge between legal and technical teams — translating privacy requirements into actionable engineering specifications and ensuring implementation fidelity

You may be a good fit if you have:

• 7+ years of experience in privacy program management, privacy engineering, or a related role at a technology company, with demonstrated ownership of privacy operations at scale
• Strong understanding of global privacy regulations (GDPR, CCPA/CPRA) and sector-specific frameworks (HIPAA, FINRA, FERPA, FedRAMP) with practical experience applying them to product development
• Technical fluency — you can read a data flow diagram, understand system architectures, ask incisive questions about data handling, and translate between legal requirements and engineering implementation without needing to write code yourself
• Proven track record of driving cross-functional programs across legal, product, engineering, and security teams in fast-moving environments
• Experience building or significantly improving privacy review processes, privacy impact assessments, or privacy control frameworks
• Comfortable operating in ambiguity — you can define structure where none exists and prioritize ruthlessly when everything feels urgent
• Excellent written and verbal communication skills, with the ability to produce clear, actionable documentation for both technical and non-technical audiences

Strong candidates may have:

• Experience at a company navigating hypergrowth, where privacy programs had to scale alongside rapid product development
• Familiarity with privacy-enhancing technologies and their practical application in product contexts
• Experience with enterprise compliance programs and customer-facing privacy controls (e.g., data retention policies, access controls, audit logging)
• Background in AI, machine learning, or adjacent technology domains

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York 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:

$190,000—$230,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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