Bachelor's degree or equivalent practical experience.
10 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, escalation management or related fields.
1 year of experience in Machine Learning (ML) performance, large-scale systems data analysis, ML debugging, Large Language Models (LLMs), or specialized areas within ML.
Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python).
Experience in Abuse Detection and Abuse Policies.
Preferred qualifications:
Experience in developing detailed operational processes from scratch.
Experience leading cross-functional projects across organizational boundaries.
Ability to develop expertise in multiple product areas and simultaneously balance workload across both.