About the job
As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.
Responsibilities
Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets
Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.
Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.
Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.
Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries
Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership
Be someone people enjoy working with
Qualifications
Minimum
Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.
Preferred
Have deep expertise in at least two of the following domains: agentic AI misuse; automation; encryption; terrorism; fraud; violence; child exploitation; data science; dashboarding; api abuse; product exploits, prompt injection; distillation;
Have 5+ years of experience investigating and mitigating abuse in a relevant domain
Have 4+ years of relevant technical projects
Strong presenter on safety work in public or policy settings
Have experience scaling or automating processes, especially with LLMs or ML techniques