About the job
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.
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 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
Qualifications
Minimum
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
Preferred
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