27 days ago
Base Salary
$320k - $485k/yr
Responsibilities
- Build and operate Safeguards data platforms, including ingestion and processing pipelines, warehouses, data stores, schemas, and interfaces.
- Maintain day-to-day operation of Safeguards systems while reducing manual operational effort.
- Own data governance and integrity, including retention, access controls, privacy-preserving handling, lineage, and correctness guarantees.
- Design portable systems across AWS, GCP, Azure, customer-managed environments, and third-party environments.
- Partner with analysts, investigators, researchers, and operational teams to build internal tooling.
Requirements
- Proficiency in Python and SQL.
- Experience building and operating data pipelines or data stores in production.
- Ability to work across ingestion, storage, and consumption layers of the data stack.
- Strong written and verbal communication skills, including explaining technical tradeoffs to non-specialists.
- Extensive software engineering experience with significant time spent on data-intensive systems is preferred.
- Experience with integrity, spam, fraud, or abuse detection and mitigation is preferred.
- Experience building trust-and-safety detection and intervention mechanisms for AI or machine learning systems is preferred.
- Experience with large-scale distributed data infrastructure is preferred.
- Experience across multiple cloud providers or with provider-agnostic infrastructure is preferred.
- Experience meeting data governance requirements in regulated or high-sensitivity domains is preferred.
- Experience building custom internal tooling with operational teams is preferred.
- A bachelor’s degree or equivalent combination of education, training, and/or experience is required in a relevant field demonstrated through coursework, training, or professional experience.
Benefits
- Annual compensation is listed as $320,000–$485,000 USD.
- Hybrid policy currently expects staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is available for some roles, with immigration-lawyer support.
- Benefits include competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
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.