1 month ago
Base Salary
$320k - $405k/yr
Responsibilities
- Translate partner-team data needs into data models, reporting, and technical requirements.
- Build and manage dbt pipelines that transform raw logs into canonical datasets.
- Define data integrity standards and SLAs for accurate and timely data delivery.
- Build dashboards, data products, and self-serve analytics tools for cross-functional teams.
- Define and materialize metrics and analysis for new and evolving consumer products.
- Shape Product team roadmaps from a data systems perspective and own projects end to end.
- Develop expertise in Anthropic’s data models and architecture.
Requirements
- Significant experience as a Data Engineer or in a similar Data Science & Analytics role.
- Experience partnering with Product leads to build and report on company-wide metrics.
- Expertise building multi-step ETL jobs with dbt and using workflow tools such as Airflow.
- Experience with GitHub, SQL, and Python for building accurate data models.
- Experience building reporting and dashboards with tools such as Hex.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field demonstrated through coursework, training, or professional experience.
- Strong candidates may also have experience building a data engineering function from the ground up in an early-stage or fast-growing environment.
Benefits
- Annual salary range of $320,000—$405,000 USD.
- Hybrid work policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space.
- Anthropic sponsors visas and will make every reasonable effort to obtain a visa if an offer is made, although sponsorship is not successful for every role or candidate.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.