Data Scientist, Product

Posted 10 hours ago

Job Description

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 part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our product organization. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.

You will work closely with leaders from product, engineering, go-to-market, and research to define and measure key success metrics, analyze user and model behaviors to identify new opportunities, and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale.

Roles within Product DS:

Claude Developer Platform

You will partner closely with product, engineering, and go-to-market teams to drive growth and optimization across Anthropic's Claude Developer Platform — the foundational layer powering developers and enterprises building with AI. In this role you'll work at the intersection of product strategy, customer insights, and revenue optimization, surfacing insights about how developers adopt, integrate, and scale our core API, agent orchestration, and tool integrations. You'll drive data-informed decisions that shape our platform roadmap and influence how AI is deployed at scale across industries. This role offers a unique opportunity to work on the infrastructure that underpins both Anthropic's internal products and the broader developer ecosystem building with Claude.

Enterprise and Verticals

You will partner closely with product, engineering, and go-to-market teams to drive growth in Anthropic's enterprise business and accelerate adoption of Claude products. In this role you’ll also partner with teams building products like Claude for Excel for verticals outside of Coding. You'll surface insights about how enterprises adopt and scale our products across diverse use cases, measure the impact of vertical-specific features, and drive data-informed decisions that shape our enterprise growth strategy and our expansion into new markets. This role offers a unique opportunity to work across the full breadth of Anthropic's product portfolio through the lens of businesses.

Enterprise Code

You will partner closely with product, engineering, growth, and go-to-market teams to turbocharge adoption of Anthropic's suite of coding tools among Enterprises. You'll guide enterprise product development by surfacing insights about how organizations evaluate, adopt, and scale AI-powered coding tools and inform go-to-market teams on how best to drive adoption. Help to shape how enterprises integrate AI into their software development workflows, partnering across marketing, growth, and product to turn groundswell developer enthusiasm into sustained enterprise-wide adoption.

Claude Code

This role is embedded with the Claude Code product team, driving data-informed decisions for Anthropic's agentic coding tool that enables developers to delegate coding tasks directly to Claude from their terminal. You'll help the team understand how developers interact with AI coding assistants, measure developer productivity and product quality, and identify opportunities to innovate the developer experience as the product scales. Key focus areas include developer usage patterns across the platform, driving adoption within the developer ecosystem, and developer segmentation.

Responsibilities:

Deep dive into product and user data to derive actionable insights that inform product strategy and feature prioritization
Define core metrics and build measurement frameworks to evaluate product performance, user engagement, and business outcomes
Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on findings
Partner with cross-functional teams to understand customer behavior, identify growth opportunities, and drive data-informed decisions
Build sophisticated models to segment users by use case, behavior patterns, and value to inform targeted product development and go-to-market strategies
Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow

You may be a good fit if you:

Have 5+ years of experience in data science or analytics roles with significant focus on product analytics
Have 3+ years of experience working closely with Product or Engineering teams, with demonstrated impact on product roadmap and strategy
Possess deep expertise in Python, SQL, and data visualization tools
Have experience with experimentation and A/B testing, including designing controlled experiments and analyzing results in technical product environments
Have a track record of translating complex 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 a passion for the company’s mission of building helpful, honest, and harmless AI
Possess strong instincts for what drives product adoption, engagement, and retention
Demonstrate exceptional written communication and presentation skills

Strong candidates may also have:

Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
Background in customer lifecycle modeling, retention analysis, and revenue optimization
Experience with usage-based pricing models and understanding how product usage translates to business outcomes
Familiarity with building and maintaining data infrastructure for high-scale products
Background in customer research methodologies and survey design
Experience working at developer-focused companies or on products with technical user bases

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$275,000—$370,000 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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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

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