Manager, Scaled Abuse Countermeasures and Research

TL;DR

Manager, Scaled Abuse Countermeasures and Research: Lead the SCAR team as first line of defense against bulk fake account creation, login abuse, spam, scams, fraud, and high-volume threats with an accent on ML/AI-powered automation and structured research. Focus on defining metrics, building roadmaps, standing up research programs, and partnering cross-functionally to translate signals into automated countermeasures.

Location: Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

Salary: $272,000 to $306,000 + equity + benefits (US base).

Company

Discord is a multiplatform gaming communication app used by over 200 million people monthly to connect, talk, and build communities around games.

What you will do

• Lead and grow the SCAR team of Scaled Abuse Scientists handling rapid incident response and threat research.
• Set team vision emphasizing ML-driven detection and AI-powered automation to scale impact and reduce manual workflows.
• Define north-star metrics, roadmaps, and prioritization frameworks focused on highest-impact scaled abuse problems.
• Establish a structured research program to investigate attacker operations, signals, and economics through experimentation.
• Integrate SCAR signals into Safety ML models and pipelines for long-term automated countermeasures.
• Partner with Product, Safety ML, Data Science, Policy, Legal, Trust & Safety, and Revenue to influence safety-by-design.
• Coach, hire, and develop team members; communicate insights to senior leadership.

Requirements

• 2+ years people management of technical teams (engineers, ML engineers, data scientists, applied researchers).
• 4+ years in Trust & Safety, fraud, anti-abuse, or adversarial domains at consumer-scale platforms.
• Demonstrated drive for ML and automation adoption in Trust & Safety or operations.
• Strong analytical skills with SQL and Python fluency for data investigation.
• First-principles thinking and behavioral-economics reasoning for adversarial systems.
• Excellent communication and cross-functional collaboration across engineering, ML, policy, legal, and product.
• Growth mindset with feedback-seeking and team development.

Nice to have

• Experience with LLMs or AI agents for incident response or automation.
• Scaled abuse at large social platforms or marketplaces.
• Threat intelligence research on internet infrastructure and attacker techniques.
• Passion for Discord, gaming, and communities.
• Degree in Computer Science, ML, Statistics, or equivalent.

Culture & Benefits

• Remote accommodations during interview process; commitment to inclusion.
• Equity and comprehensive benefits package.
• Multiplatform, multigenerational gaming-focused environment.