Technical Lead Manager, Data Engineering, Trust & Safety

About the Team

The Applied team brings OpenAIs 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 production inputs.

• Establish ownership documentation data quality standards monitoring and operational rigor for critical datasets and workflows.

• Reduce dependence on sensitive raw logs by building structured alternatives with appropriate access controls retention deletion semantics and governance.

• Partner with Trust & Safety Product Policy Privacy Data Science Engineering and Data Platform on launch readiness operational systems and safety measurement.

• Raise the bar for technical judgment prioritization communication and execution in a fast-moving environment.

You Might Thrive in This Role If You

• Have 15 years of experience in data engineering and have led data engineering teams that build and operate production data systems at scale.

• Experience in trust and safety integrity abuse prevention fraud investigations risk operations safety systems privacy or adjacent domains.

• Are deeply technical and comfortable with data architecture modeling pipelines reliability privacy and operational tradeoffs.

• Have experience with large-scale data systems such as Spark Airflow or similar orchestration systems distributed storage batch/streaming pipelines and modern warehouse patterns.

• Think of data as a product: reliable documented governed observable discoverable and designed for repeated use.

• Can create clarity in ambiguous problem spaces and make principled tradeoffs quickly.

• Have a strong track record partnering with senior stakeholders across engineering data science operations policy privacy product or executive teams.

• Have hired developed and retained senior engineers.

• Are motivated by building systems that make frontier AI products safer and more trustworthy.

Nice to Have

• Experience supporting ML systems through feature engineering training data labels model evaluation or production model pipelines.

• Experience with launch readiness monitoring alerting incident response semantic layers metrics governance or executive-facing reporting.

Workplace & Location

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

Please note: this role may involve work related to sensitive or concerning safety abuse fraud or user-risk domains. Strong discretion judgment and resilience are essential.

About OpenAI

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. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

Manager