Product Manager, Enterprise

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.

As a Product Manager for Enterprise at Claude.ai, you will own the core enterprise platform capabilities that make Claude trustworthy and deployable for large organizations. You'll focus on security, compliance, administration, and governance features that enterprise customers require to adopt AI at scale. This role requires strong technical judgment, deep understanding of enterprise security and compliance frameworks, and the ability to translate complex requirements into elegant product experiences.

You'll work closely with engineering, design, sales, and security teams to build the foundational enterprise capabilities that unlock Claude's adoption across regulated industries and security-conscious organizations.

Key responsibilities

Security & Compliance Product Development

Enterprise Platform Capabilities

Cross-functional Partnership

Customer & Market Understanding

Minimum qualifications

• Own the roadmap for enterprise security features including audit logging, data retention policies, and access controls
• Drive compliance certifications and feature development (SOC 2, HIPAA, FedRAMP, GDPR) in partnership with security and legal teams
• Develop and maintain enterprise admin experiences including user management, workspace controls, and policy enforcement
• Build features that give IT and security teams visibility and control over Claude usage within their organizations
• Define and execute on core enterprise infrastructure including deployment options, data residency, and integration capabilities
• Partner with engineering to build scalable, secure architecture that meets enterprise requirements
• Develop APIs and integration points that enable enterprise workflows and system connectivity
• Work closely with sales and customer success to understand enterprise customer requirements and translate them into product priorities
• Partner with security team to ensure features meet enterprise security standards
• Collaborate with legal and policy teams on compliance requirements and certifications
• Coordinate with research teams on enterprise-specific model behavior and safety requirements
• Build deep expertise in enterprise security, compliance, and procurement requirements
• Develop relationships with enterprise customers to understand their needs and validate solutions
• Stay current on competitive landscape and enterprise AI market trends
• Strong understanding of enterprise security concepts (RBAC, audit logging, encryption, data residency)
• Experience with compliance frameworks (SOC 2, HIPAA, GDPR) and certification processes
• Track record of shipping enterprise features that drive adoption in security-conscious organizations
• Excellent communication skills with ability to work across technical and business stakeholders
• Experience partnering closely with sales teams and engaging directly with enterprise customers

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.

• 6+ years of product management experience, with at least 3 years focused on enterprise software
• Experience in AI/ML products or platforms
• Background in identity & access management, security tools, or compliance software
• Understanding of regulated industries (healthcare, financial services, government)

$385,000—$595,000 USD

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.