368,910open jobs
9,449companies
47,822added this week
Browse all
Salary
$248k – $310k per year
Location
In office (San Francisco)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Discord is a voice, video, and text communication platform that enables users to create and join topic-based public and private communities known as "servers." Originally launched in 2015 to support multiplayer video gaming communities, the platform has expanded into a general-purpose hub for interest groups, educational communities, remote teams, and content creators. Through persistent text channels, real-time voice chat rooms, direct messaging, screen sharing, and third-party bot integrations, Discord provides scalable communication tools for millions of active communities worldwide.

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

This team is where reports and signals become decisions. We build the LLM pipelines that review reported content, the systems that carry enforcement out, the appeals path users take when we get it wrong, and the tooling our investigators and content reviewers work in every day. Most safety reviews are now decided by automation instead of a person, at a cost per review that has fallen by more than 90% on mature workflows and at precision and recall above trained human reviewers. What's left to automate is the ambiguous, high-stakes end, and with appeals arriving by the hundreds of thousands, getting users a fast and fair answer matters as much as catching harm.

We're hiring an Engineering Manager to lead the team: nine engineers across three squads, each with an experienced tech lead. One builds the automated review systems; another owns enforcement, warnings, and the infrastructure behind appeals; and the final owns tooling that enables analysts to be effective. You'll report to the Director of Engineering for Safety and work closely with our content review operations, machine learning, product, policy, and legal teams. The charter is larger than the current headcount, and we expect the role to grow with it.

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
  • You've 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. You can review a design, follow a hard incident, and disagree with an approach without taking the work away from senior engineers who know the system better than you do
  • Experienced working alongside operations or human-in-the-loop teams. You understand quality assurance, reviewer calibration, and appeals, and you 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

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.

The US base salary range for this full-time position is $248,000 to $310,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord? 

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking  HERE.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,910 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$47k – $102k per year (Estimated) • In office • Full-Time • 15+ years exp • Bachelor's Degree • Hyderabad • Gurgaon
Java
Java
Spring Boot
Databases
Apache Kafka
Azure Cosmos DB
PostgreSQL
Redis
AI/ML
AI Agents
LLM
OpenAI
RAG
DevOps
Azure
Azure AKS
Azure DevOps
CI/CD
Docker
GitHub
GitHub Actions
Kubernetes
Platform Engineering
Apply
LLM Model Developer 7 hours ago
$28k – $77k per year (Estimated) • In office • Full-Time • 3+ years exp • Hyderabad
AI/ML
AI Agents
Fine-tuning
LLM
Apply
$47k – $106k per year (Estimated) • In office • Full-Time • Moscow
Python
SQL
Python
pySpark
AI/ML
LangChain
LangGraph
LLM
RAG
Spark
Apply
$7k – $21k per year • Remote • Contractor • Yekaterinburg
Python
AI/ML
ChatGPT
Claude
LLM
Midjourney
Management
n8n
Zapier
Apply
$36k per year (gross) • In office • Full-Time • 3+ years exp • Moscow
Python
SQL
Python
SQLAlchemy
Databases
MongoDB
PostgreSQL
AI/ML
LLM
Mobile
PWA
DevOps
CI/CD
Docker
Gitflow
Jenkins
kubectl
Git
Kubernetes
Management
Confluence
Jira
QA
Pytest
Apply
$248k – $310k per year • In office • Full-Time • 8+ years exp • San Francisco
Elixir
Go
JavaScript
Python
Rust
Swift
TypeScript
Python
Django
Flask
Databases
Apache Kafka
Cassandra
PostgreSQL
ScyllaDB
AI/ML
Claude
Claude Code
Cursor
Lovable
Frontend
React.js
DevOps
Datadog
Apply
$272k – $306k per year • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
LLM
Apply
$221k – $245k per year • In office • Full-Time • 2+ years exp • Master's Degree • San Francisco
Python
SQL
Apply
$188k – $212k per year • In office • Full-Time • 5+ years exp • San Francisco
Design
Figma
Apply
$248k – $279k per year • In office • Full-Time • 7+ years exp • San Francisco
Python
Rust
SQL
TypeScript
AI/ML
Human-in-the-Loop
DevOps
AWS
GCP
Analytics
A/B Testing
Apply
$130k – $500k per year • Equity • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
AI Agents
Claude
Claude Code
Copilot
Cursor
Function Calling
Human-in-the-Loop
LLM Guardrails
DevOps
GitHub
Apply
$89k – $193k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • San Francisco
Apply
$190k – $270k per year • Remote/Hybrid • Full-Time • 7+ years exp • San Francisco
SQL
AI/ML
LLM
Recommender Systems
Analytics
A/B Testing
Marketing
Salesforce
Apply
$170k – $220k per year • Equity 1–2.8% • In office • Full-Time • 3+ years exp • San Francisco
Python
SQL
Python
Django
AI/ML
AI Agents
Context Engineering
LLM
LLM Evaluation
RAG
Apply
$170k – $230k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • New York • San Francisco
Go
Java
Kotlin
Python
Scala
Databases
Apache Kafka
Databricks
Delta Lake
Snowflake
AI/ML
Dagster
dbt
Flink
Spark
Knowledge Graph
Apply
See all jobs
This is one of many
368,910 more open roles from verified company boards, updated every day.