Engineering Manager, Research Data Platform

Details

Anthropic’s Research Data Platform team builds systems that make research data—including training runs, evaluations, reinforcement learning transcripts, and annotations—easy to produce, find, query, and trust. The role combines technical leadership, hands-on software development, data platform architecture, and collaboration with AI researchers, with a potential path into formal people leadership.

Responsibilities

• Work directly with researchers and supporting engineers to understand workflows, identify high-leverage opportunities, and shape the team’s roadmap.
• Set the technical direction across the platform and datasets.
• Design and build platform components, including libraries, services, and interfaces such as metrics libraries used by training frameworks.
• Own core datasets end to end, including pipelines, schemas, documentation, and data quality guarantees.
• Drive convergence toward canonical datasets, including the core data model for reinforcement learning transcripts.
• Lead complex, multi-quarter projects spanning multiple systems and teams while remaining hands-on in the code.
• Raise the team’s technical bar through design reviews, mentorship, and high-quality engineering work.

Requirements

• Experience building and operating data-intensive systems at scale, including pipelines, storage layers, and query systems.
• Strong data modeling and schema design skills.
• Experience setting technical direction for a team or owning the architecture of a data platform used by other teams.
• Ability to work with internal users as customers through discovery, iteration, and adoption measurement.
• Ability to build stable, trustworthy interfaces and data systems while use cases evolve.
• Ability to lead through influence and align engineers and stakeholders without relying on formal authority.
• Results-oriented and pragmatic approach to engineering.
• Interest in learning the fundamentals of machine learning research; deep machine learning expertise is not required.
• Interest in the societal impacts of the work.
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• Experience with large-scale ETL and columnar or analytical storage technologies such as Spark, BigQuery, ClickHouse, DuckDB, or Parquet.
• Experience with metrics or experiment-tracking systems or high-volume time-series data.
• Experience with dataset management, cataloging, or lineage tooling.
• Experience building developer tooling or internal data platforms for demanding technical users.
• Working knowledge of machine learning.
• Experience working in or closely with an ML research lab.
• Interest in or experience with people management and growing engineers.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration. Staff are expected to work from one of the company’s offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and makes reasonable efforts to assist candidates with immigration through an immigration lawyer.