Head of Enterprise Customer Success
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 a Head of Enterprise Customer Success at Anthropic, you'll develop and execute the strategic vision for our global customer success organization, establishing Anthropic as the trusted AI partner for enterprise organizations. You'll architect and scale our customer success function, building multiple teams focused on driving customer adoption, optimization, and growth while ensuring responsible AI deployment across diverse enterprise environments. Working directly with C-suite executives and cross-functional leadership, you'll define our enterprise success strategy while building programs that transform how organizations leverage our platform to achieve transformational business outcomes.
Responsibilities:
- Define and execute the strategic vision for Anthropic's Enterprise Customer Success organization, building multiple teams that support our most valuable enterprise relationships
- Develop organizational structure, talent strategy, and leadership development programs to support rapid scaling
- Own executive-level relationships with key strategic accounts, serving as a trusted advisor on AI transformation initiatives
- Drive organization-wide metrics including net retention, account expansion, customer satisfaction, and long-term platform adoption
- Establish enterprise-grade frameworks to assess customer health, identify strategic opportunities, and mitigate adoption barriers
- Create and implement a systematic approach to translate customer insights into strategic business initiatives
- Collaborate with executive leadership to align customer success strategy with Anthropic's broader business objectives
- Lead organizational initiatives with Sales, Product, and Engineering leadership to develop enterprise-focused solutions and go-to-market strategies
- Build and execute a comprehensive strategy to maximize enterprise customer lifetime value
You may be a good fit if you have:
- 10+ years of experience in customer-facing leadership roles, with 5+ years leading enterprise customer success organizations
- Proven track record of building and scaling global customer success functions at enterprise SaaS or AI companies
- Strategic understanding of enterprise technology adoption, with experience navigating complex organizational environments
- History of owning and growing multi-million dollar enterprise relationships
- Demonstrated ability to develop organizational strategy and execute through multiple levels of leadership
- Experience building and leading customer success programs for transformational enterprise technologies
- Proven ability to influence executive stakeholders and align cross-functional leadership
- Track record of building metrics frameworks that drive organizational performance
- Strategic mindset with ability to balance immediate customer needs with long-term business vision
- Exceptional executive presence and ability to represent Anthropic with C-suite leaders
- Passion for responsible AI adoption and organizational transformation
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
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.
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By
Anthropic
Anthropic is an AI startup public-benefit company dedicated to AI safety and research, aiming to develop dependable, interpretable, and controllable AI systems. The company was was founded by former members of OpenAI in 2021.
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