Technical Lead Manager, Data Engineering, Trust & Safety

Responsibilities

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

Requirements

• Experience leading data engineering teams that build and operate production systems at scale.
• Expertise in data architecture, modeling, and large-scale distributed storage.
• Hands-on experience with Spark, Airflow, or similar orchestration systems.
• Background in trust and safety, integrity, fraud prevention, or risk operations.
• Proven track record of hiring, developing, and retaining senior engineers.
• Ability to navigate ambiguous problem spaces and make principled technical tradeoffs.

Preferred Qualifications

• Experience supporting ML systems through feature engineering, training data, or model evaluation pipelines.
• Experience with incident response, semantic layers, or executive-facing reporting.

Benefits

• Competitive salary ($385K – $490K) and generous equity.
• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan with employer match.
• Flexible PTO and paid parental leave.
• Daily meals in the office and mental health support.
• Annual learning and development stipend.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We work to safely deploy frontier AI systems to the world through products used by hundreds of millions of people and developers building on our APIs.