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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 Finance Analytics and Business Intelligence team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. 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.

As the first Finance Analytics and Business Intelligence member primarily focused on Go to Market (GTM), you will use advanced analytics to drive strategic decision-making and business intelligence. You'll work at the intersection of finance, analytics, and business intelligence to develop forecasting models, support GTM motions and decision-making, and help optimize cloud spend. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.

Responsibilities:

Establish the foundation for financial forecasting and analytics at Anthropic, creating processes and best practices for model development and deployment
Develop and maintain advanced revenue and time series forecasting models using multiple methodologies (statistical, ML, ensemble approaches)
Build scalable solutions and use ML and statistical techniques to support financial planning, variable compensation, pipeline understanding, scenario analysis, and strategic business decisions
Partner closely with Finance, Data Science, and GTM teams to build joint analytical roadmaps and actionable recommendations
Create and maintain dashboards and reporting systems that provide actionable insights to leadership
Translate complex analytical findings into clear recommendations for business stakeholders
Champion data-informed decision making across the organization

You may be a good fit if you have:

6+ years of experience in analytics and business intelligence roles
3+ years of experience in revenue forecasting and/or time series modeling with proven business impact
Demonstrated experience in multiple forecasting methodologies (Prophet, ARIMA, neural forecasting, etc)
A passion for the company's mission of building helpful, honest, and harmless AI
Expertise in Python, SQL, and data visualization tools
Experience with cloud computing platforms (AWS, GCP) and their cost structures
A bias for action and urgency, not letting perfect be the enemy of the effective
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
A deep curiosity and energy for pulling the thread on hard questions
Experience in turning open questions and data into concise and insightful analysis
Proven ability to build strong cross-functional partnerships

The expected salary range for this position is:

Annual Salary:$265,000—$315,000 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.