Partner closely with Identity Engineering, Product, Policy, and Security teams to establish runtime consent gates, automate manifest evaluations, and translate policy requirements into technical enforcement mechanisms.
Improve Red-team LLM inputs and validate human-in-the-loop systems, scaling coverage and efficiency for ecosystem governance.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications
Experience architecting, deploying, or operating scalable data pipelines and backend monitoring systems.
Experience applying AI, ML frameworks, or LLMs to solve complex, ambiguous problems and automate workflows.
Experience in Trust and Safety, threat intelligence, cybersecurity, or platform compliance, with an understanding of adversarial behaviors and abuse vectors.
Proficiency in SQL, Python, or similar programming languages for advanced data extraction, manipulation, and analysis.
Experience translating complex policy requirements into automated technical enforcement mechanisms or runtime consent gates.
Experience collaborating cross-functionally with engineering, policy, and product teams to drive ecosystem safety and platform integrity initiatives.
Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience managing projects and defining project scope, goals, and deliverables.
