Manager, Safety Analytics

Discord Discord · Consumer · San Francisco, CA · Machine Learning

Manager for a Safety Analytics team focused on detecting and disrupting high-volume threats on Discord. The role involves leading a team of analysts, scientists, and researchers, defining a strategic roadmap, collaborating with ML teams to improve models, and partnering cross-functionally to influence safety-by-design decisions. The goal is to improve automated systems, ML models, and agent moderation tools to safeguard platform integrity.

What you'd actually do

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

Skills

Required

  • 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 have

  • 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 relevant degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

What the JD emphasized

  • high-volume threats
  • automated systems
  • ML models
  • agent moderation tools
  • scaled abuse

Other signals

  • improving models
  • threat signals
  • automated countermeasures
  • safety-by-design
  • ML models
  • agent moderation tools