Anthropic is looking to scale its API platform from millions to billions of API calls while maintaining safety and reliability. The role aims to drive growth and optimization of Anthropic's API products by understanding customer behavior and identifying growth opportunities.
Requirements
- Possess deep expertise in Python, SQL, and statistical analysis, with experience analyzing usage-based billing models and API consumption patterns
- Have experience with enterprise customer analytics, including customer lifecycle modeling, retention analysis, and revenue optimization
- Understand developer ecosystems and have worked with API metrics such as adoption rates, integration patterns, rate limiting impacts, and developer onboarding funnels
- Have a track record of designing and analyzing A/B tests and controlled experiments in technical product environments
- Excel at translating complex API usage data into clear, actionable insights for both technical and business stakeholders
- Have experience working with high-volume, real-time data systems and understanding the technical constraints that inform product decisions
- Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
Responsibilities
- Deep dive into API usage patterns, developer adoption funnels, and enterprise customer behavior to provide actionable insights that drive product strategy and feature prioritization
- Analyze customer lifecycle metrics, revenue retention patterns, and usage-based billing dynamics to identify opportunities for growth and reduce churn across our API customer base
- Design and analyze experiments to improve API adoption, reduce time-to-value for developers, and enhance the overall developer experience across our platform ecosystem
- Build sophisticated models to segment API customers by use case, company size, and behavioral patterns to inform targeted product development and go-to-market strategies
- Analyze customer behavior across Anthropic's ecosystem (1P API, Bedrock, Vertex AI) to understand platform preferences, switching patterns, and optimization opportunities
- Design, execute, and analyze controlled experiments on API features, pricing strategies, and developer onboarding flows to drive measurable improvements in key metrics
- Develop models to forecast API usage, predict customer growth potential, and identify early signals of expansion or churn risk
Other
- Have 6+ years of experience in data science or analytics roles, with significant experience in API products, developer tools, or B2B SaaS platforms
- Have 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
- Demonstrate a bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
- We require at least a Bachelor's degree in a related field or equivalent experience.
- Currently, we expect all staff to be in one of our offices at least 25% of the time.
