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

In this role, you will:

• Lead our efforts in understanding and measuring the real-world safety impacts of OpenAI’s current and upcoming products
• Uncovering new ways to improve our approaches to measuring and mitigating harm and abuse
• Develop and implement statistical methods necessary to operationalize safety-related metrics
• Provide direction, guidance, and coordination of projects in the space
• Establish a data-driven culture within Safety Systems by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metrics
• Create and disseminate dashboards, reports, and tools that enable the team and company to answer safety-related questions independently
• Develop safety data flywheel and provide safety research with production insights/data for training and evaluation.

You might thrive in this role if you have:

• 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as a founding data scientist or team lead at a hyper-growth product company or research org
• Proven leadership skills, including leading multiple data scientists and cross-functional teams
• Expertise in defining and implementing metrics, with a track record of operationalizing new feature and product-level metrics from scratch
• Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
• Strategic insights that extend beyond traditional statistical significance testing.

You could be an especially great fit if you have:

• Experience in trust and safety, integrity, anti-abuse, or related fields
• Demonstrated prior experience in NLP, large language models, or generative AI
• Strong statistical background, including knowledge of sampling, regression, causal analysis, and more

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