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 an early member of our Data Science and Analytics team focusing on our API, you will play a critical role in driving the growth and optimization of Anthropic's API products that power thousands of developers and enterprises building with AI. You'll work at the intersection of product strategy, customer insights, and revenue optimization to help scale our API platform from millions to billions of API calls while maintaining our commitment to safety and reliability.
You will partner closely with product, engineering, and go-to-market teams to understand developer and enterprise customer behavior, identify growth opportunities, and drive data-informed decisions that shape our API roadmap. This role offers a unique opportunity to influence how AI is deployed at scale across industries while working with cutting-edge language models and developer tools.
Responsibilities:
- API Product Analytics: Deep dive into API usage patterns, developer adoption funnels, and enterprise customer behavior to provide actionable insights that drive product strategy and feature prioritization
- Revenue & Retention Analysis: 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
- Developer Experience Optimization: Design and analyze experiments to improve API adoption, reduce time-to-value for developers, and enhance the overall developer experience across our platform ecosystem
- Customer Segmentation & Insights: 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
- Cross-Platform Analysis: Analyze customer behavior across Anthropic's ecosystem (1P API, Bedrock, Vertex AI) to understand platform preferences, switching patterns, and optimization opportunities
- Experimentation & A/B Testing: Design, execute, and analyze controlled experiments on API features, pricing strategies, and developer onboarding flows to drive measurable improvements in key metrics
- Predictive Modeling: Develop models to forecast API usage, predict customer growth potential, and identify early signals of expansion or churn risk
- Enterprise Customer Intelligence: Partner with sales and customer success teams to analyze enterprise customer usage patterns, measure feature adoption, and provide insights that inform account strategy
You may be a good fit if you:
- 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
- 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
- Demonstrate a bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
- Have experience working with high-volume, real-time data systems and understanding the technical constraints that inform product decisions
Strong candidates may also have:
- Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
- Background in analyzing multi-platform ecosystems (cloud providers, marketplaces, etc.) and understanding platform dynamics
- Experience with usage-based pricing models, API rate limiting strategies, and developer monetization
- Knowledge of enterprise sales cycles and experience supporting B2B sales teams with data insights
- Familiarity with cloud platforms (AWS Bedrock, Google Vertex AI) and their impact on customer behavior
- Experience building and maintaining data infrastructure for high-scale API products
- Background in customer research methodologies and survey design for developer communities
The expected salary range for this position is:
Annual Salary:
$275,000—$355,000 USD
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process