OpenAI
Technology
TechnicalLeadManager,DataEngineering,Trust&Safety
Neural analysis suggests this role is
optimal for Manager candidates.
“Technical Lead Manager, Data Engineering, Trust & Safety at OpenAI. Skills: Data Engineering, Trust and Safety, System Architecture. Lead data engineering team. Grow data engineering team”
What You'll Achieve.
Build durable foundations; Build reusable foundations; Detect risk; Investigate abuse; Power operational workflows; Develop safety models; Evaluate safety models; Measure interventions; Support product launches; Report on platform integrity
Industry & Context.
Problem solving; Ambiguous problem spaces; Principled tradeoffs
Sensitive domain work
What They're Looking For.
Must Have
Led data engineering teams, Experience in trust and safety, Experience in integrity, Experience in abuse prevention, Experience in fraud, Experience in investigations, Experience in risk operations, Experience in safety systems, Experience in privacy, Deeply technical, Comfortable with data architecture, Comfortable with data modeling, Comfortable with data pipelines, Comfortable with data reliability, Comfortable with data privacy, Comfortable with operational tradeoffs, Experience with large-scale data systems, Experience with Spark, Experience with Airflow, Experience with distributed storage, Experience with batch pipelines, Experience with streaming pipelines, Experience with modern warehouse patterns, Create clarity in ambiguous problem spaces, Make principled tradeoffs quickly, Track record partnering with senior stakeholders, Hired senior engineers, Developed senior engineers, Retained senior engineers
Nice to Have
Experience supporting ML systems, Experience with feature engineering, Experience with training data, Experience with model evaluation, Experience with production model pipelines, Experience with launch readiness, Experience with monitoring, Experience with alerting, Experience with incident response, Experience with semantic layers, Experience with metrics governance, Experience with executive-facing reporting
What You'll Do.
Lead data engineering team
Grow data engineering team
Define technical strategy
Build canonical datasets
Build privacy-safe datasets
Build pipelines for abuse detection
Build pipelines for fraud detection
Build pipelines for risk signals
Build pipelines for enforcement
Build pipelines for scaled review
Build pipelines for transparency reporting
Build pipelines for safety monitoring
Create reusable foundations
Establish documentation
Establish data quality standards
Establish operational rigor
Reduce dependence on raw logs
Build structured alternatives
Partner with Trust & Safety
Partner with Data Science
Partner with Engineering
Partner with Data Platform
Raise bar for technical judgment
Raise bar for prioritization
Raise bar for communication
Raise bar for execution
How You'll Work.
Team & Collaboration
Partner with senior stakeholders; Cross-functional teams
Communication Scope
Stakeholder communication
Process & Methodology
Roadmap planning, Prioritization
Full Job Description
ABOUT THE TEAM The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. ABOUT THE ROLE We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. IN THIS ROLE, YOU WILL - 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, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. - Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting, evaluation, and
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