Data Product Manager, AI Data Platform
Core
Own and evolve the data infrastructure layer of an AI data annotation platform, bridging product management with data engineering to enable scalable labeling operations.
Role type
Data Product Manager (AI Data Platform)
Builds
Data pipelines, data quality frameworks, RBAC governance, and scalable data delivery systems for downstream labeling operations.
Domain
AI/ML data infrastructure and annotation platforms
Deliverable
production ML models
Required skills
Data pipeline orchestration, data modeling, SQL (Hive/Spark), Python for automation, RBAC design, data governance, ETL/ELT design, data warehousing, big data architecture
Preferred skills
Metric/KPI framework design, data security and compliance, large-scale annotation platform management, ML data pipeline knowledge, agile delivery, SaaS product experience
Technologies
Airflow, Spark, Flink, Grafana, Tableau
Responsibilities
Own product strategy and roadmap for data infrastructure; define data asset standards and SLAs; design RBAC for data assets; translate labeling requirements into pipeline specifications; define and prioritize data product features; conduct data modeling and schema design; monitor pipeline reliability and drive continuous improvement.
Seniority
Mid-level, hands-on IC