OpenAI

1 month ago

Technical Lead Manager, Data Engineering, Trust & Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead and grow the Trust & Safety Data Engineering team to deliver privacy-safe data foundations, scalable pipelines, and risk/abuse detection datasets. Set strategy, shape data architecture, and partner across teams (Policy, Privacy, Data Science, Engineering) to enable safe, scalable OpenAI products and accurate platform integrity reporting.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key 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, 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.

Pay and Benefits

Salary: USD 385,000 - 490,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Lead and grow a data engineering team that builds and operates production data systems at scale.
•Define the roadmap and technical strategy for Trust & Safety data systems, including privacy-safe datasets and pipelines.
•Build canonical datasets and pipelines for abuse/fraud detection, risk signals, enforcement, and safety monitoring, with strong access controls and governance.
•Create reusable foundations for model development (features, labels, training data, backtesting, evaluation, production inputs).
•Establish ownership, data quality standards, monitoring, and operational rigor for critical datasets and workflows.

Experience:Trust and safetyData engineeringAI

Skills:Data engineeringPrivacyGovernanceArchitectureTeam leadershipPipelineSparkAirflowDistributed storageData warehouseProduction systems

Languages:English

Tech Stack:SparkAirflowSpark SQLDistributed storageBatch processingStreamingData warehouse

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

OpenAI

1 month ago

Technical Lead Manager, Data Engineering, Trust & Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key 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, 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.

Pay and Benefits

Salary: USD 385,000 - 490,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Lead and grow a data engineering team that builds and operates production data systems at scale.
•Define the roadmap and technical strategy for Trust & Safety data systems, including privacy-safe datasets and pipelines.
•Build canonical datasets and pipelines for abuse/fraud detection, risk signals, enforcement, and safety monitoring, with strong access controls and governance.
•Create reusable foundations for model development (features, labels, training data, backtesting, evaluation, production inputs).
•Establish ownership, data quality standards, monitoring, and operational rigor for critical datasets and workflows.

Experience:Trust and safetyData engineeringAI

Skills:Data engineeringPrivacyGovernanceArchitectureTeam leadershipPipelineSparkAirflowDistributed storageData warehouseProduction systems

Languages:English

Tech Stack:SparkAirflowSpark SQLDistributed storageBatch processingStreamingData warehouse

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor