Recruiting Analytics Engineer

Anthropic, a pioneering AI research company, is seeking a Recruiting Analytics Engineer to join their mission of creating safe and beneficial AI systems. This role sits at the intersection of data engineering and talent acquisition, requiring a skilled professional with 5+ years of experience to enhance their recruiting processes through data-driven insights.

The position offers a competitive salary range of $220,000 to $275,000 USD and is based in San Francisco with a hybrid work arrangement. The successful candidate will be instrumental in developing and maintaining data pipelines, creating insightful dashboards, and implementing predictive models to optimize recruiting processes.

This is an excellent opportunity for a data professional who is passionate about AI's potential impact on society and wants to contribute to Anthropic's mission. The role combines technical expertise in SQL, Python, and data visualization with a deep understanding of recruiting metrics and talent acquisition processes.

The company stands out for its approach to AI research, treating it as an empirical science and focusing on large-scale research efforts rather than smaller, specific puzzles. They offer an impressive benefits package including competitive compensation, optional equity donation matching, generous vacation and parental leave, and visa sponsorship opportunities.

As a public benefit corporation, Anthropic emphasizes the importance of diverse perspectives in AI development and encourages applications from candidates who might not meet every qualification but are passionate about the work. The collaborative environment, focus on impactful research, and commitment to AI safety make this an ideal position for someone looking to make a meaningful contribution to the future of AI technology.

The role requires a minimum of 25% office presence, allowing for flexibility while maintaining collaborative opportunities with colleagues. Anthropic's emphasis on communication skills and team collaboration ensures that technical insights can be effectively shared across the organization, making this an ideal position for a data professional who values both technical excellence and interpersonal dynamics.