Engineering Manager, Safety Automation & Appeals (Remote)

Hitmarker | Gaming Jobs; United States; Remote; USD 279,000 - 310,000; Full time

Job summary

Discord is hiring an Engineering Manager to lead the Safety team of nine engineers across three squads: automated review, enforcement, and tooling. You will report to the Director of Engineering for Safety and steer the charter as the team grows.

Own investigator tooling, drive scalable reviews, and collaborate with policy, legal, ML, product, and data science to ship high-precision, compliant workflows at scale.

Qualifications

• 5+ years as a software engineer with backend and distributed systems experience.
• 2+ years managing engineers.
• Shipped LLM systems in production with evaluation, ground-truth data, quality regressions.
• Experience with operations or human-in-the-loop teams.
• Excellent cross-functional collaboration and communication.

Responsibilities

• Lead three squads, Review, Enforce, and Tooling through their tech leads, setting direction across automated review, enforcement, and appeals.
• Push automation toward nearly all review decisions without sacrificing precision or recall against a human baseline, and enable operations to tune workflows.
• Rebuild appeals: one path for every eligible appeal and reviews tooling that scores decision quality.
• Own the tooling investigators depend on, reducing investigation time and making enforcement traceable.
• Carry regulatory and child-safety compliance work alongside the roadmap, and hire and grow the team.

Skills

Backend & distributed systems

People management

LLM systems production

Cross-functional collaboration

Incident handling

Communication

Job description

Discord is hiring an Engineering Manager to lead the Safety team of nine engineers across three squads: automated review, enforcement, and tooling. You will report to the Director of Engineering for Safety and steer the charter as the team grows.

Own investigator tooling, drive scalable reviews, and collaborate with policy, legal, ML, product, and data science to ship high-precision, compliant workflows at scale.