Join the Data Science & Analytics team to build reliable analytics foundations for Anthropic’s consumer products.

Location: New York, NY (hybrid); expected in one of our offices at least 25% of the time
Compensation: $320,000–$405,000 USD per year

Identify and anticipate partner team data needs, then translate them into data models, reporting, and technical requirements
Define, build, and manage dbt pipelines that transform raw logs into canonical datasets
Establish data integrity standards and SLAs to deliver data on time and accurately
Develop dashboards to track core metrics and share insights across the company
Create foundational data products, dashboards, and tools to scale self-serve analytics
Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products
Contribute a data systems perspective to Product team roadmaps
Build deep expertise in Anthropic data models and data architecture

Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads on company-wide metrics
Alignment with Anthropic’s mission of building helpful, honest, and harmless AI
Expertise building multi-step ETL with dbt, plus experience with workflow tools like Airflow and version control with GitHub
Strong skills in SQL and Python to produce accurate, clean data models
Experience building reporting and dashboards in tools like Hex for cross-functional teams
Bias for action, with judgment that “good enough” can be preferable to perfection
End-to-end mindset: ownership of solving problems fully, including work beyond usual scope when needed
Comfort with ambiguity, paired with habits that create clarity and forward progress
Experience using AI to improve productivity for self and the team without reducing work quality

Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Will correlate with internal job level requirements
Visa sponsorship: Sponsors visas (not able to sponsor every role/candidate); reasonable effort if making an offer; retains an immigration lawyer to help with this
Applications: Encouraged even if you do not meet every qualification

Data Engineer, Product

Job Description