Product Public Policy Manager, Privacy & Data Governance at Anthropic

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• 🏢 Anthropic has 53 jobs here, 36 with visa sponsorship see all

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Lead Anthropic’s global privacy policy strategy for AI data governance, model training, and privacy-preserving deployment.
- Translate complex regulatory frameworks into clear, actionable product guidance for legal, research, and product teams.
- Define and drive high-priority privacy initiatives (legislative engagement, white papers, industry coalitions).
- Build and manage relationships with regulators, policymakers, civil society, academics, and industry partners across jurisdictions.
- Monitor emerging privacy laws and frameworks; identify business risks and opportunities and advise leadership.
- Produce engagement materials that explain Anthropic’s privacy approach to technical and non-technical audiences.

Requirements:
- 8+ years in privacy policy, with significant experience in technology companies or emerging tech policy work.
- Deep knowledge of global privacy regimes (e.g., GDPR, CCPA/CPRA) and how they apply to AI systems.
- Technical fluency with privacy-preserving techniques (differential privacy, federated learning, data minimization) and model training workflows.
- Demonstrated ability to work cross-functionally with legal, product, research, and GTM teams and to influence without authority.
- Strong written and verbal communication skills for advocacy and stakeholder engagement.
- Comfortable operating in ambiguous 0→1 environments and setting strategy while driving implementation.

Responsibilities

This role involves leading Anthropic's global privacy policy strategy across product, research, and legal teams to inform the product roadmap and external advocacy regarding AI data governance and model training. Responsibilities also include translating complex privacy frameworks into actionable product guidance and driving strategic privacy initiatives like model privacy legislation.

Requirements

Candidates should possess 8+ years in privacy policy, ideally within tech, with deep expertise in global privacy regulations like GDPR and CCPA as they apply to AI systems. Technical fluency with privacy-preserving technologies and proven ability to drive cross-functional initiatives and manage diverse stakeholders are also required.

Key skills

• Privacy Policy Strategy — not in any other listing on The Stack
• Data Governance — in 90 other listings on The Stack
• Model Training — in 2 other listings on The Stack
• Privacy-Preserving Deployment — not in any other listing on The Stack
• Regulatory Interpretation — not in any other listing on The Stack
• Product Guidance — not in any other listing on The Stack
• Strategic Initiatives — not in any other listing on The Stack
• Stakeholder Management — in 332 other listings on The Stack
• Risk Identification
• Engagement Strategy
• GDPR
• CCPA/CPRA
• Differential Privacy
• Federated Learning
• Cross-functional Influence
• Ambiguity Management

On The Stack (as of 2026-11-05)

• Anthropic has 52 other listings on The Stack, 35 of them marked as offering visa sponsorship.

Frequently asked questions about Anthropic

Is this Product Public Policy Manager, Privacy & Data Governance role still open?

It was posted on 2026-03-06. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.

Does Anthropic offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Anthropic's site.

Where is this role located?

The listing gives the location as San Francisco, CA, United States.

What skills does this role ask for?

The listing names: Privacy Policy Strategy, Data Governance, Model Training, Privacy-Preserving Deployment, Regulatory Interpretation, Product Guidance, Strategic Initiatives, Stakeholder Management, Risk Identification, Engagement Strategy, GDPR, CCPA/CPRA, Differential Privacy, Federated Learning, Cross-functional Influence, Ambiguity Management.