Manager, Safety Analytics

Discord•San Francisco, CA

10d•Onsite

About The Position

Discord is seeking an Analytics Manager to lead its Scaled Abuse Countermeasures and Research (SCAR) team. This team is responsible for safeguarding Discord's platform integrity by detecting, analyzing, and disrupting high-volume threats through automated systems, research, and incident response. The role reports to the Head of Safety Intelligence and Automation. The Manager will lead and mentor a team of data analysts, scientists, and researchers, define a strategic roadmap for disrupting abuse operations, and collaborate with various teams to improve safety measures and influence safety-by-design decisions.

Requirements

2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent.
4+ years of experience working in a Trust & Safety domain, such as fraud, spam, scams, account compromise or other high-volume threats.
Fluency in SQL and/or Python for data investigation and pattern analysis.
Strong analytical problem-solving skills, with expertise in measurement and experimentation.
Demonstrated ability to drive automation adoption within operations or incident response workflows that increase the team's leverage and reduce manual work.
Excellent communication and cross-functional collaboration skills, with an ability to translate complex technical topics into clear takeaways for senior leadership.

Nice To Haves

Experience leveraging LLMs or AI agents for incident response, investigation automation, or signal triage.
Experience tackling scaled abuse at large social platforms, marketplaces, or other high-volume consumer products.
Threat intelligence research background, including understanding of internet infrastructure and the tools and techniques attackers use.
A strong passion for Discord and/or gaming, and an appreciation for the communities we serve.
A relevant degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

Responsibilities

Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns.
Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation.
Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures.
Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse.
Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools.