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 Enterprise Technical Success Manager at Anthropic, you will be a strategic partner and the go-to technical advisor to our enterprise API customers, helping them harness the full potential of our LLM technology to achieve their business objectives. You'll work with strategic customers by providing technical guidance while driving consumption and optimization of Anthropic's API solutions. Your role focuses on helping customers scale their usage effectively, identify new use cases, and maximize the value of their existing API integrations.
Responsibilities:
- Build trusting, strategic relationships with key customer decision makers
- Partner with customers to understand their business objectives and technical requirements and guide them toward optimal utilization of Anthropic's API solutions
- Drive consumption by developing and executing account plans that ground in each customer's business objectives, expand upon use cases that drive toward those objectives, and identify new opportunities for growth
- Help customers optimize their applications through deeply understanding Anthropic's API capabilities, methodology, and prompting techniques
- Monitor API usage patterns to mitigate risks, provide recommendations for optimization, and push toward expansion opportunities
- Lead regular customer stakeholder meetings and quarterly business reviews, focusing on usage patterns, success stories, and growth opportunities
- Create demonstrations to showcase potential new use cases and capabilities that build upon existing integrations
- Work cross-functionally with Enterprise Account Executives to identify and pursue expansion opportunities within existing accounts
- Act as the voice of the customer to Product and Engineering teams, providing detailed feedback on customer needs and feature requirements
You may be a good fit if you:
- 5+ years of experience in technical customer-facing roles (Customer Success, Technical Account Management, Solutions Consultant, or similar)
- Technical acumen with understanding of APIs, integration concepts, and software development principles
- Experience explaining and demonstrating technical products to various audiences
- Understanding of LLMs and AI technologies, with ability to guide customers on optimization best practices
- Track record of driving technical adoption and consumption in enterprise environments
- Excellent ability to translate technical concepts for various audiences, from developers to executives
- Strong project management skills and ability to manage multiple customer relationships
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$250,000—$270,000 USD
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.
Top Skills
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
