Description
We're looking for a Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team, which serves as Discord's first line of defense against bulk fake account creation, login abuse, spam, scams, fraud, and other high-volume threats.
As a Manager, you will lead and grow the SCAR team, setting a vision that leans heavily into automation. You will define scaled abuse north-star metrics and build a roadmap and prioritization framework to keep the team focused on the highest-impact problems.
Key responsibilities include:
- Leading and growing the SCAR team
- Setting a vision for the team that leans heavily into automation
- Defining scaled abuse north-star metrics and building a roadmap and prioritization framework
- Standing up a research program where the team operates as scientists
- Closing the loop with Safety ML so that SCAR's signals feed directly into model features and pipeline upgrades
- Partnering cross-functionally with Product, Safety ML, Data Science, Policy, Legal, Trust & Safety, and Revenue
Requirements include:
- 2+ years of people management experience leading technical teams
- 4+ years of experience working on Trust & Safety, fraud, anti-abuse, or a closely adjacent adversarial domain at a consumer-scale platform
- Demonstrated ability to drive ML and automation adoption within a Trust & Safety or operations context
- Strong analytical skills and fluency in SQL and Python for data investigation and pattern analysis
- Ability to think from first principles and apply behavioral-economics reasoning to adversarial systems
- Excellent communication and cross-functional collaboration skills
Bonus points for experience leveraging LLMs or AI agents for incident response, investigation automation, or signal triage, tackling scaled abuse problems at large social platforms, marketplaces, or other high-volume consumer products, or having a threat intelligence research background.
The US base salary range for this full-time position is $272,000 to $306,000 thoughtful of the overall compensation package.