OpenAI

5 months ago

Data Science Manager, Integrity

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead and scale OpenAI’s Integrity Data Science team to detect and mitigate misuse, fraud, and adversarial behaviors. Build rigorous analytics, define measurement frameworks, and partner with Product and Engineering to develop scalable, AI-enabled strategies across trust & safety domains in a cross-functional, fast-moving environment.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and scale a high-impact Integrity Data Science team—hiring, coaching, and developing DS ICs (and potentially future managers) while setting a strong technical and cultural bar.
•Drive strategy across multiple Integrity domains (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, abuse prevention), balancing near-term response with durable systems.
•Build and institutionalize analytical rigor: clear metric frameworks, experimentation standards, monitoring/alerting, and repeatable evaluation approaches for Integrity interventions.
•Partner deeply with Product & Engineering to shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.
•Evolve team structure and operating model as the org scales—defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows.

Pay and Benefits

Salary: USD 255,000 - 490,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience building and scaling Data Science teams in fast-moving environments, ideally in trust & safety, fraud/abuse, or risk domains.
•Strong technical grounding in modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and ability to coach others.
•Proven ability to partner across DS, Engineering, Product, and Operations to influence roadmaps and align on priorities.
•Track record of hiring, mentoring, and developing technical talent while establishing high standards and a collaborative culture.
•Ability to translate evolving threats into clear frameworks, metrics, and decisions, with comfort operating in ambiguity.

Experience:AiTrust & safetyFraudRiskAdversarial

Skills:LeadershipCommunicationCollaborationStrategic thinkingMentoring

Tech Stack:ExperimentationCausal inferenceAnomaly detectionRisk modelingMeasurement designLLMsEmbeddingsFine-tuning

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

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OpenAI

5 months ago

Data Science Manager, Integrity

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and scale a high-impact Integrity Data Science team—hiring, coaching, and developing DS ICs (and potentially future managers) while setting a strong technical and cultural bar.
•Drive strategy across multiple Integrity domains (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, abuse prevention), balancing near-term response with durable systems.
•Build and institutionalize analytical rigor: clear metric frameworks, experimentation standards, monitoring/alerting, and repeatable evaluation approaches for Integrity interventions.
•Partner deeply with Product & Engineering to shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.
•Evolve team structure and operating model as the org scales—defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows.

Pay and Benefits

Salary: USD 255,000 - 490,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience building and scaling Data Science teams in fast-moving environments, ideally in trust & safety, fraud/abuse, or risk domains.
•Strong technical grounding in modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and ability to coach others.
•Proven ability to partner across DS, Engineering, Product, and Operations to influence roadmaps and align on priorities.
•Track record of hiring, mentoring, and developing technical talent while establishing high standards and a collaborative culture.
•Ability to translate evolving threats into clear frameworks, metrics, and decisions, with comfort operating in ambiguity.

Experience:AiTrust & safetyFraudRiskAdversarial

Skills:LeadershipCommunicationCollaborationStrategic thinkingMentoring

Tech Stack:ExperimentationCausal inferenceAnomaly detectionRisk modelingMeasurement designLLMsEmbeddingsFine-tuning

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