Enterprise Customer Success Manager

About the role

As an Enterprise Customer Success Manager, you will be a strategic partner to our enterprise customers, helping them harness the transformative potential of our LLM technology to achieve their business objectives. You'll work with strategic customers by providing best practices guidance while driving adoption and optimization of Anthropic's solutions. Your role focuses on helping customers scale their usage effectively, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.

Responsibilities

• Implementation & Activation: Lead end-to-end rollout of Claude for Enterprise from kickoff to successful deployment, focusing on rapid time-to-value for customers
• Strategic Account Management: Own the customer experience across their lifecycle — managing account and success plans grounded in the customers’ business objectives, conducting Quarterly Business Reviews, identifying expansion opportunities, and serving as a conduit between the customer and Anthropic
• Technical Guidance: Become an expert in Anthropic's products, methodology, and prompting techniques to provide hands-on technical advice and optimization recommendations
• Change Management: Develop and execute strategies to drive user adoption and maximize value within customer organizations, including Train the Trainer and Center of Excellence
• Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to ensure seamless customer experiences and relay customer feedback for product development

You may be a good fit if you have:

• 5+ years of experience in Customer Success
• Proven track record managing both project-based engagements and ongoing strategic relationships
• Technical acumen, confident explaining complex topics to customers in all roles and levels
• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
• Natural relationship-builder who brings structure and best practices to complex customer environments
• Strategic mindset with the ability to analyze customer needs and the market to capitalize on growth opportunities
• Passion for AI and interest in responsible development of advanced systems

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!

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