Nuvepro - Task Intelligence for the Enterprise
OpenAI

Data Science Manager Integrity San Francisco

Comp$255K – $490K

Classified Tasks (14)

Automate 0%Augment 50%Human-Only 50%

Augment (7)

AI assists, human decides

Drive analytical and product strategy across policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, and abuse prevention.

analytical

Balance near-term response efforts with the design and implementation of durable, scalable systems.

operational

Build and institutionalize metric frameworks, experimentation standards, monitoring and alerting systems, and repeatable evaluation approaches for Integrity interventions.

analytical

Translate ambiguous risk signals into actionable product and platform decisions.

analytical

Improve processes and create leverage through better tooling and AI-assisted workflows.

operational

Push the team toward an AI-leveraged operating mode by implementing modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.

technical

Design and build scalable systems to detect, measure, and mitigate emergent misuse patterns.

technical

Human-Only (7)

Requires human judgment

Lead and scale the Integrity Data Science team by hiring, coaching, and developing individual contributors and potential managers.

leadership

Lead data scientists working across trust & safety, fraud prevention, risk analysis, measurement, and modeling.

leadership

Build a high-performing Data Science function that keeps pace with fast-moving threats.

leadership

Partner with Product and Engineering to shape roadmaps and prioritize initiatives.

communication

Define ownership boundaries and evolve team structure and operating rhythms as the organization scales.

leadership

Support cross-organizational partners (e.g., Growth, Ads, GTM, Operations) where integrity risks intersect with product and business goals.

communication

Synthesize complex tradeoffs, surface risks, and communicate with senior leadership to drive alignment on priorities and success metrics.

communication

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/data-science-manager-integrity-san-francisco/) --- Skip to main contentResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Log inTry ChatGPT(opens in a new window)ResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Data Science Manager, Integrity | OpenAICareersData Science Manager, IntegrityData Science - San FranciscoApply now(opens in a new window)About the TeamIntegrity Data Science sits at the center of OpenAI’s mission to deploy powerful AI responsibly. We help ensure people can trust our products by building measurement systems, experimentation practices, and detection/mitigation strategies that protect OpenAI and our users from misuse, fraud, and evolving adversarial behaviors.As the scope and urgency of Integrity work expands across product surfaces and go-to-market motion, we’re hiring a dedicated Data Science Manager to scale the team, strengthen execution across multiple Integrity domains, and deepen partnership with Product, Engineering, Operations, and adjacent orgs (e.g., Growth, Ads).This role is based in our San Francisco HQ (in-office).About the RoleAs Data Science Manager, Integrity, you will lead a team of data scientists working across trust & safety, fraud prevention, risk analysis, measurement, and modeling. You’ll be accountable for building a high-performing DS function that can keep pace with fast-moving threats—and for shaping the analytical strategy that informs how OpenAI detects, measures, and mitigates integrity risks at scale.This is a highly cross-functional leadership role. You’ll help set the roadmap with Integrity Product/Engineering leaders, evolve team structure and operating rhythms, raise the bar on technical rigor (experimentation, causal inference, modeling, metrics), and develop a culture of proactive, high-leverage impact. Many of the challenges in this space are emergent—new misuse patterns appear as the technology and ecosystem evolves—so this role requires strong judgment, comfort with ambiguity, and an ability to build systems that scale.In this role, you will: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.Enable cross-org outcomes, supporting partners outside Integrity (e.g., Growth, Ads, GTM) where integrity risks intersect with product and business goals.Communicate clearly with senior leadership, synthesizing complex tradeoffs, surfacing risk, and driving alignment on priorities and success metrics.Push the team toward an AI-leveraged operating mode, using modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.You might thrive in this role if you:Have deep experience leading and scaling Data Science teams, ideally in trust & safety, fraud/abuse, security, risk, or other adversarial problem spaces in fast-moving environments.Bring strong technical grounding across modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and can coach others to execute with rigor.Have a track record of building durable partnerships a
Source: OpenAI careers · scraped 2026-05-22
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