Engineering Manager, Research Data Platform (AI)

Location: San Francisco, CA or New York City, NY; hybrid attendance with staff expected in an office at least 25% of the time

Annual salary: $405,000–$850,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Work with researchers and supporting engineers to understand workflows, identify high-impact opportunities, and shape platform priorities.
• Set technical direction across research data platform components and datasets.
• Design and build libraries, services, interfaces, and other platform components used by research systems.
• Own core datasets end to end, including pipelines, schemas, documentation, and data-quality guarantees.
• Drive adoption of canonical datasets, including the core data model for RL transcripts.
• Lead complex multi-quarter projects across systems and teams while contributing hands-on code, design reviews, and mentorship.

Requirements

• Experience building and operating data-intensive systems at scale, including pipelines, storage layers, or query systems.
• Strong data modeling and schema design skills for systems that grow in usage.
• Experience setting technical direction or owning the architecture of a data platform used by other teams.
• Ability to lead through influence, align engineers and stakeholders, and work pragmatically with evolving research requirements.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
• Ability to work from an Anthropic office in San Francisco or New York City at least 25% of the time.

Nice to have

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

Culture & Benefits

• Collaborative research environment focused on large-scale AI research and long-term impact.
• Frequent research discussions and emphasis on communication and diverse perspectives.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave, flexible working hours, and an office environment for collaboration.
• Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.