Engineering Manager, Research Data Platform
Core
Lead the Research Data Platform team to build systems that make AI training data easy to produce, find, query, and trust, serving researchers and engineers.
Role type
Senior Engineering Manager, Research Data Platform
Builds
Platform components (libraries, services, interfaces) and core datasets (pipelines, schemas) for AI research
Domain
Artificial Intelligence / Machine Learning Research / Data Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Data-intensive system architecture, technical direction, data modeling, schema design, stakeholder management, hands-on coding, complex project leadership, mentorship
Preferred skills
Large-scale ETL, columnar/analytical storage (Spark, BigQuery, ClickHouse, DuckDB), metrics/experiment tracking, dataset management/cataloging, developer tooling, machine learning fundamentals, people management
Technologies
Spark, BigQuery, ClickHouse, DuckDB, Parquet
Responsibilities
Work with researchers and engineers to identify workflow bottlenecks and shape technical direction; Design and build platform components for other teams to plug into; Own core datasets end-to-end including pipelines and schemas; Drive convergence toward canonical datasets; Lead multi-quarter projects spanning multiple systems; Raise team technical bar through design reviews and mentorship
Seniority
Senior, hands-on IC with people leadership potential