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 a Data Science Manager at Anthropic, you will be responsible for building, mentoring and leading a world-class team that turns data into actionable insights. This extremely impactful role is central to scaling our business while maintaining our commitment to safe and beneficial AI. You and your team will develop metrics, analyses, experiments, and machine learning models that help create excellent user experiences and grow the business. You'll collaborate closely with go-to-market, finance, infrastructure, research, and product teams to guide our strategic decision-making as we deploy frontier AI technology to users worldwide. As a key leader of Anthropic's data strategy, your team's work will shape key decisions, directly accelerate our progress, and contribute to Anthropic's mission of ensuring that artificial intelligence has a positive impact on humanity.

Responsibilities:

Lead and develop a high-performing team of data scientists, providing mentorship, guidance, and career development opportunities
Partner with Sales, Marketing, Compute, and Finance leadership to develop metrics, dashboards, and analyses that inform strategic decisions across these domains
Drive product strategy through data-driven insights, including user behavior analysis, product performance metrics, causal inference and experimentation
Create and maintain sophisticated forecasting models for business planning, operations and capacity management
Develop lead scoring, customer segmentation, propensity models, and predictive machine learning approaches to help nurture and grow customer accounts
Establish engineering best practices, data modeling and scalable data infrastructure in collaboration with engineering teams
Communicate complex analyses and recommendations effectively to executives and stakeholders across the organization
Foster a collaborative, inclusive team culture that balances technical excellence with practical business impact

You may be a good fit if you have:

MS or PhD in a quantitative field (statistics, mathematics, computer science, physics, or related)
8+ years of experience in data science and analytics, including 4+ years managing high-performing data teams
Proven track record of driving product strategy through data insights and building metrics that matter
Deep expertise in statistical analysis, experimental design, and causal inference
Experience with SQL, Python, R, and data visualization tools for large-scale analysis
Demonstrated ability to partner effectively with cross-functional stakeholders and influence decision-making through data
Experience building data capabilities from early stages through rapid growth phases
Strong communication skills, with ability to translate complex technical concepts to diverse audiences
Passion for Anthropic's mission of building safe and beneficial AI

Strong candidates may also have experience with:

Building data teams and practices in fast-paced, high-growth technology companies
Financial modeling, capacity planning, chip optimization, or operations research
Machine learning, NLP, or experience working with AI and large language models
Go-to-market analytics, including marketing attribution, sales forecasting, and customer lifecycle analysis
Knowledge of cloud based billing systems and standard accounting practices
Managing through ambiguity and creating clarity in early-stage environments

The expected salary range for this position is:

Annual Salary:

$315,000—$420,000 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.