Technical Lead Manager, Data Engineering, Trust & Safety

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.

Responsibilities

• Lead and grow a high-performing Trust & Safety Data Engineering team
• Define the roadmap and technical strategy for Trust & Safety data systems
• Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, and safety monitoring
• Create reusable foundations for Trust & Safety model development, including features, labels, and training data
• Establish ownership, documentation, data quality standards, and operational rigor for critical datasets
• Partner with Trust & Safety, Product, Policy, Privacy, Data Science, and Engineering teams

Requirements

• 15+ years of experience in data engineering
• Proven experience leading data engineering teams building production systems at scale
• Experience in trust and safety, integrity, abuse prevention, fraud, or risk operations
• Deep technical expertise in data architecture, modeling, pipelines, and privacy
• Experience with large-scale data systems such as Spark, Airflow, or similar orchestration systems
• Strong track record of partnering with senior stakeholders across diverse functions
• Experience hiring, developing, and retaining senior engineers

Preferred Qualifications

• Experience supporting ML systems through feature engineering, training data, or model evaluation
• Experience with launch readiness, monitoring, alerting, or incident response
• Experience with semantic layers, metrics governance, or executive-facing reporting