Analytics & Automation Lead, User Safety & Risk Operations

At OpenAI our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse fraud safety risks and other forms of misuse. We operate at the front line of real-world safety and risk management translating user and operational signals into timely decisions effective interventions and improvements to our systems.

The Analytics & Automation team helps USRO operate more effectively and scale safely. The team builds automation analytics reporting monitoring and quality systems that improve how work is prioritized reviewed measured and managed across the organizations portfolio.

Our work includes workflow automation operational health dashboards queue and case analysis quality measurement classifier and evaluation feedback loops alerting reporting infrastructure and decision-support tools. We partner closely with operational teams as well as Product Engineering Product Policy Safety and Support to identify high-leverage opportunities and build practical systems that improve outcomes.

We are seeking an Analytics & Automation Lead to manage and grow a senior technical operations team responsible for building the analytics automation and quality systems that help User Safety and Risk Operations scale.

This is a hands-on leadership role for a mission-oriented systems thinker: someone who can translate messy operational problems into practical measurable solutions; guide senior technical and analytical ICs (Independent Contributors); prioritize across competing needs; and build durable infrastructure and reusable capabilities that improve the performance of multiple operational teams.

You will lead work across workflow automation operational health analytics quality and evaluation systems emerging-risk signal infrastructure dashboards and reporting and data flywheel feedback will help determine where automation can meaningfully improve speed consistency and scalability and where human judgment and strong quality controls must remain central.

The right person is highly technical for an operations role deeply comfortable with ambiguity and fluent in using AI tools to improve real workflows. Success in this role means building systems that make safety operations faster more reliable more measurable and more scalable without losing the human judgment required for sensitive user-safety decisions.

Location / work model: San Francisco CA; hybrid 3 days/week in-office.

Please note: This role may involve exposure to sensitive or concerning content. Strong discretion judgment and resilience are essential.

• Lead and develop a senior team of technical and analytical ICs responsible for automation analytics reporting and other systems.

• Set the strategy and operating cadence for a horizontal team supporting safety and risk operations across multiple workflows and domains.

• Prioritize a portfolio of high-impact opportunities making clear tradeoffs based on user impact risk reduction operational need technical feasibility and scalability.

• Build systems that improve operational health and visibility including data infrastructure dashboards SLA and backlog monitoring and quality measurement.

• Design and implement workflow improvements such as automated triage routing prioritization signal enrichment case clustering review assistance and reporting automation.

• Build and improve the systems and strategies for emerging risk identification analysis and signal sharing

• Identify where AI LLMs classifiers or lightweight tooling can materially improve operational work while designing appropriate evaluation monitoring human review and fallback paths.

• Establish measurement and quality frameworks for operational systems including golden sets sampling strategies reviewer calibration false-positive and false-negative monitoring and system-health metrics.

• Partner with operational leaders to understand their workflows identify root causes and bottlenecks and turn high-value needs into scalable systems rather than one-off analyses.

• Collaborate with Product Engineering Policy Legal Safety Support and other partner teams to translate user and operational insights into better tools processes and outcomes.

• Raise the bar for technical judgment written communication prioritization and execution across a senior independent team.

• Have 12 years of relevant experience across trust and safety risk operations data analytics automation product operations integrity fraud or similarly high-stakes operational environments.

• Have 4 years of people management experience including experience leading senior technical analytical or highly independent ICs.

• Are highly technical for an operations leader: comfortable with SQL dashboards data quality classifier/eval concepts automation design and practical AI tooling.

• Experience working with LLMs agentic workflows Codex-like tools or internal AI platforms to automate operational work.

• Have built systems that materially improved how operational work gets done such as workflow automation triage or routing systems detection workflows operational reporting or classifier feedback loops.

• Can distinguish high-value automation from risky automation and know how to design human-in-the-loop review monitoring quality controls and fallback mechanisms for sensitive workflows.

• Bring strong operational judgment and understand the realities of running complex workflows at scale including queues reviewer processes escalations capacity constraints and quality assurance.

• Communicate clearly and concisely with technical operational and executive audiences especially when tradeoffs are complex or evidence is incomplete.

• Operate with high agency in ambiguous environments and can create structure momentum and measurable progress without overbuilding.

• Are mission-oriented user-safety minded and motivated by building systems that make frontier AI products safer and more trustworthy.

• Experience in trust and safety adversarial abuse integrity risk operations or user safety at a scaled technology company.

• Experience with classifier development eval design golden sets labeling guidance reviewer calibration or model-quality feedback loops.

• Experience leading analytics or automation work that supports multiple partner teams or business lines.

• Experience building quality programs audit processes or decision records for sensitive or regulated workflows.

• Familiarity with vendor operations BPO training QA or scaled review programs.

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.

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.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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