Analytics Manager - Safety & Abuse Countermeasures

Discord

United States

On-site

USD 220,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

Discord seeks an Analytics Manager to lead the Scaled Abuse Countermeasures and Research (SCAR) team. You will guide analysts, researchers, and engineers to investigate threats, define a strategic roadmap, and drive automated countermeasures across the platform.

You will work with Product, Engineering, Data Science, Policy, Legal, and Revenue to influence safety-by-design decisions. Applicants should have strong SQL/Python skills and proven leadership in safety domains.

Qualifications

  • 2+ years of people management experience leading technical teams.
  • 4+ years in Trust & Safety domain such as fraud, spam, or high-volume threats.
  • Fluency in SQL and/or Python for data analysis.
  • Strong analytical problem-solving with focus on measurement and experimentation.
  • Experience driving automation adoption in operations or incident response.
  • Excellent communication and cross-functional collaboration skills.

Responsibilities

  • Lead and mentor a team of data analysts, scientists, and researchers investigating active threats.
  • Define a strategic roadmap prioritizing high-impact abuse operations.
  • Collaborate with safety ML teams to improve models via threat signals.
  • Partner with Product, Engineering, Data Science, Policy, Legal, and Revenue.
  • Advocate for scalable infrastructure like rule engines and ML-based countermeasures.

Job description

Discord seeks an Analytics Manager to lead the Scaled Abuse Countermeasures and Research (SCAR) team. You will guide analysts, researchers, and engineers to investigate threats, define a strategic roadmap, and drive automated countermeasures across the platform.

You will work with Product, Engineering, Data Science, Policy, Legal, and Revenue to influence safety-by-design decisions. Applicants should have strong SQL/Python skills and proven leadership in safety domains.

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