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DiscordDiscordSan Francisco, CA

Engineering Manager, Safety Processing

Lead three engineering squads building automated LLM review pipelines, enforcement systems, appeals, and investigator tooling for Discord's Trust & Safety. Manage nine engineers while driving automation, compliance, and operational tooling in a high-stakes environment.

248k – 279k/yr
On-site7+ YOEEngineering Management

About the role

What you'll do

  • 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 giving up precision or recall against a human baseline, and get engineering out of the loop so the operations team can launch and tune workflows themselves
  • Rebuild appeals: one path for every eligible appeal regardless of what triggered the original action, review tooling that scores decision quality rather than only flagging that two reviewers disagreed, and checks that catch mistakes before they land on good users
  • Own the tooling our investigators depend on, cutting complex investigations from hours to minutes, and make enforcement traceable enough that anyone can see how a user reached their current state
  • Carry regulatory and child-safety compliance work alongside the roadmap, set the engineering bar with your leads, and hire and grow the team

Who you are

  • 5+ years as a software engineer with a solid backend and distributed systems background, and 2+ years managing engineers
  • Shipped LLM systems in production where the output is a decision the business acts on rather than a suggestion, with opinions about evaluation, ground-truth data, quality regressions, and where cost and latency start to bite
  • Technical enough to stay in the details: review a design, follow a hard incident, and disagree with an approach without taking the work away from senior engineers
  • Experienced working alongside operations or human-in-the-loop teams; understand quality assurance, reviewer calibration, and appeals, and build tools that respect the people using them
  • Steady under escalation: legal deadlines, serious incidents, and regulator attention come with this job, and you can hold a quality line while shipping against a clock
  • Excellent communication and cross-functional collaboration across engineering, machine learning, data science, policy, legal, and product, and practical about throughput and unit economics
  • An empathetic and experienced recruiter and coach. People you've managed want to work with you again

Bonus Points

  • A strong passion for Discord and/or gaming, and an appreciation for the communities we serve
  • Trust and safety, fraud, integrity, or abuse engineering at a consumer platform
  • Building internal tools where operations or review teams are the primary user
  • Consolidating fragmented legacy systems onto a single platform, or managing outsourced operations teams and vendors

Compensation

The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits.

Skills

LLMsbackendDistributed SystemsMachine LearningData Science
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