Full-Time

Enterprise Technical Success Manager

API

Updated on 7/10/2025

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Compensation Overview

$200k - $260k/yr

Senior

H1B Sponsorship Available

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

Hybrid

Currently, we expect all staff to be in one of our offices at least 25% of the time.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Requirements
  • 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
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

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can perform various tasks for clients across different industries. Claude utilizes natural language processing and reinforcement learning to understand and respond to user requests effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also easy to understand and control. The company's goal is to enhance operational efficiency and decision-making for its clients through advanced AI solutions.

Company Size

1,001-5,000

Company Stage

Debt Financing

Total Funding

$19.3B

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon's $8B investment boosts Anthropic's financial and competitive position.
  • Anthropic's AI transparency framework supports responsible and secure AI development.
  • Partnerships with educational institutions enhance AI fluency and responsible adoption.

What critics are saying

  • Meta's $14B investment in AI could threaten Anthropic's market position.
  • European partnership with Dust may face regulatory challenges due to data protection laws.
  • Reliability issues with Claude Sonnet 3.7 could impact customer trust and adoption.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude, their flagship product, handles tasks at any scale for diverse industries.
  • Anthropic's AI research spans natural language, reinforcement learning, and interpretability.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

6%

2 year growth

3%
Startmag
Jul 10th, 2025
Amazon's $8B Investment in Anthropic

Amazon plans to increase its investment in Anthropic, a generative AI startup, to surpass Google. Currently, Amazon has invested $8 billion in Anthropic and is considering further investment to enhance its stake and profit from AI systems. Anthropic's annual revenue exceeds $4 billion, while Amazon Web Services generates $107 billion. Google has invested over $3 billion in Anthropic. Amazon aims to compete with Microsoft, which has invested $14 billion in OpenAI.

Engaged Learning
Jul 9th, 2025
(U.S.) Microsoft, OpenAI, and Anthropic Launch $23M National Academy for AI Instruction for Teachers

In a landmark move aimed at reshaping AI education in schools, Microsoft, OpenAI, and Anthropic have partnered with major U.S. teachers' unions to launch a National Academy for AI Instruction - a five-year, $23 million initiative to provide large-scale AI training for K - 12 educators.

Agency Tube
Jul 9th, 2025
Claude can now connect to learning apps like Canvas, Panopto and Wiley

Separately, Anthropic is partnering with campuses worldwide to launch Claude Builder Clubs, an initiative designed to help students run hackathons, workshops and demo nights dedicated to Claude and AI more broadly.

ZDNet
Jul 9th, 2025
Claude for Education just got several new integrations for students

Anthropic also launched a free AI fluency course and new partnerships with the University of San Francisco School of Law and Northumbria University, with the mission of "advancing responsible AI adoption in higher education."

MPost
Jul 8th, 2025
Anthropic Unveils AI Transparency Framework Focused On Public Safety And Responsible AI Development

Anthropic has released a flexible transparency framework aimed at the largest frontier AI developers, proposing disclosure standards and safety protocols to support responsible, secure, and accountable AI development amid fast technological advancement.