Analytics Data Engineer

Details

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.

Role overview

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics, reporting, and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth and will lead projects to enable self-serve insights for data-driven decisions.

Responsibilities

• Understand stakeholder data needs (key data models and reporting) and translate them into technical requirements
• Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop insightful and reliable dashboards to track performance of core metrics for the company
• Build foundational data products, dashboards, and tools to enable self-serve analytics at scale
• Influence product and GTM roadmaps from a data systems perspective
• Become an expert in the organization’s data models and overall data architecture

Requirements

• 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics role, preferably partnering with GTM and Product leads to build and report on company-wide metrics
• Expertise in building multi-step ETL jobs using tooling like dbt
• Proficiency with workflow management platforms such as Airflow and version control via GitHub
• Expertise in SQL and Python for transforming data into accurate, clean data models
• Experience building data reporting and dashboards in visualization tools like Hex
• Strong bias for action, full-stack mindset (willingness to solve problems end-to-end), and ability to thrive in ambiguity
• Experience building an Analytics/Data Engineering function at startups is a plus
• Bachelor’s degree in a related field or equivalent experience

Compensation

• Annual base salary: $275,000 - $355,000 USD
• Total compensation package for full-time employees includes equity, benefits, and may include incentive compensation

Logistics & Other

• Locations: San Francisco, CA; New York City, NY; Seattle, WA
• Location-based hybrid policy: staff are expected to be in one of our offices at least 25% of the time (role may require more office time)
• Visa sponsorship: Anthropic sponsors visas when possible and retains an immigration lawyer to assist
• We encourage applicants who may not meet every qualification to apply

How we're different

We work as a cohesive team on a few large-scale research efforts and value impact, collaboration, and communication. Our research directions include work on topics such as GPT-3, interpretability, scaling laws, and learning from human preferences.

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours and a collaborative office environment

How to apply

Visit Anthropic's job page to submit your application. The application asks about experience, availability, visa needs, and includes optional voluntary self-identification surveys. Anthropic provides guidance on candidate AI usage during the application process.