Data Science Manager, Integrity

About The Team

Integrity 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).

About The Role

As 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.

Drive Strategy

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

• Shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.

Evolve Team Structure and Operating Model

• Define ownership boundaries, improve processes, and create leverage through better tooling and AI-assisted workflows.

Enable Cross-Org Outcomes

• Support partners outside Integrity (e.g., Growth, Ads, GTM) where integrity risks intersect with product and business goals.

Communicate Clearly with Senior Leadership

• Synthesize complex tradeoffs, surface risk, and drive alignment on priorities and success metrics.

Push the Team Toward an AI-Leveraged Operating Mode

• Use modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.

Qualifications

• 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.
• Strong technical grounding across modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and can coach others to execute with rigor.
• A track record of building durable partnerships across DS, Engineering, Product, and Operations—able to influence without authority and create shared accountability.
• Excellent at hiring, mentoring, and developing technical talent, and can build a culture that is both high-bar and supportive.
• Translate messy, evolving threats into clear frameworks, metrics, and decisions—and keep the team focused on the highest-leverage work.
• Comfortable operating in ambiguity, and can bring structure, clarity, and momentum where the “right answer” isn’t obvious.

Bonus

• Experience deploying scaled detection solutions using LLMs, embeddings, fine-tuning, or related ML systems for abuse/fraud/risk.
• Worked closely with policy, content moderation, investigations, or security operations teams and understand how to design analytics that actually works end-to-end.
• Built or led measurement systems that balance safety, user experience, and operational/business constraints.

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.

About OpenAI

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.

Background Checks

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.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Career Opportunities

Compensation Range: $255K - $490K