Product Manager, Enterprise Lead (Claude.ai)

Anthropic
New York, NY

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


As the Enterprise Lead for Claude.ai, you will drive Claude's adoption and growth across large organizations. You'll own the end-to-end enterprise strategy, from product vision to execution, across various enterprise segments and industry verticals. This role requires deep expertise in enterprise software, security and compliance frameworks, and a proven track record of building and scaling enterprise-grade products.

You'll work at the strategic intersection of AI capabilities and enterprise needs, driving adoption and transforming Claude into a mission-critical solution for organizations worldwide.

Core Responsibilities


Strategic Leadership & Vision



  • Define and execute Anthropic's enterprise product strategy, driving significant growth through enterprise adoption

  • Develop and drive the enterprise product roadmap, including security, compliance, deployment models, and industry-specific solutions

  • Shape the organizational structure and resourcing strategy for enterprise product development

Enterprise Growth & Market Expansion



  • Drive scalable growth across multiple verticals and segments

  • Build and execute go-to-market strategies for regulated industries and enterprise organizations

  • Partner with sales leadership to establish customer relationships and drive adoption metrics across large organizations

Cross-functional Leadership & Team Building



  • Build and lead cross-functional teams focused on enterprise growth

  • Direct product development teams across core enterprise capabilities and industry solutions

  • Collaborate with executive leadership to align enterprise strategy with broader company objectives

  • Partner with key stakeholders across Product, Marketing, Applied AI, Customer Success, and Research

Product Strategy & Development



  • Direct the development of core enterprise capabilities including security, compliance, and deployment features

  • Drive the productization of industry-specific solutions

  • Enable enterprise-scale deployments with features that make Claude attractive for professional use

  • Create compelling packaging strategies across our product portfolio

Qualifications


Required Experience



  • 10+ years of product management experience, with at least 5 years in enterprise software leadership

  • Proven track record of launching and scaling enterprise products

  • Deep understanding of enterprise security, compliance, and regulated industry requirements

  • Experience building and scaling product organizations, including hiring and developing product leaders

  • Exceptional stakeholder management skills with ability to influence at C-level

  • Experience driving product-led and sales-led growth motions in parallel

  • Track record of success with industry-specific enterprise solutions

Preferred Qualifications



  • Experience in AI/ML enterprise products

  • Background in regulated industries (healthcare, financial services, education)

  • Understanding of enterprise transformation and change management

  • Experience building products for large organizations

  • Strong network in enterprise software

Leadership Competencies



  • Strategic thinking with ability to connect technology capabilities to business outcomes

  • Exceptional communication skills across technical, business, and executive audiences

  • Ability to drive urgency and execution across distributed teams

  • Track record of building high-performing product organizations

The expected salary range for this position is:

Annual Salary:

$385,000—$460,000 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.

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.

Posted 2025-09-14

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