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# Manager, Safety Analytics

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/discord.md)Share26 Aug 2026Published47Listing views3Application actions25 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryDiscord is hiring a Manager, Safety Analytics to lead the Scaled Abuse Countermeasures and Research team, focused on detecting and disrupting high-volume platform threats. The manager will lead analysts, data scientists, and researchers while setting an evidence-based roadmap for investigations, experimentation, and automated safety controls. The role requires substantial Trust & Safety experience, people leadership, SQL and/or Python fluency, and strong measurement skills. Success depends on partnering effectively with machine learning, product, engineering, policy, legal, and revenue teams to embed safety-by-design practices. Experience with AI agents, LLM-supported investigations, and threat intelligence is a meaningful advantage.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior leadership role in a high-stakes adversarial environment where threats evolve quickly and decisions affect platform integrity at scale. It combines technical analytics, incident response, people management, strategic prioritization, and executive-level cross-functional influence.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$247,500US market range$200k–$300k0$330k

AI insightThe disclosed annual US base salary range is $220,000 to $275,000 USD, with a midpoint of $247,500. A competitive estimated US market base-salary range for a senior Trust & Safety Analytics Manager leading technical teams is approximately $200,000 to $300,000 annually; equity and benefits may increase total compensation but are not included in the stated base-pay range.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Trust & Safety](https://jobicy.com/jobs?search_keywords=Trust%20%20Safety.md)[Safety Analytics](https://jobicy.com/jobs?search_keywords=Safety%20Analytics.md)[People Management](https://jobicy.com/jobs?search_keywords=People%20Management.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Threat Intelligence](https://jobicy.com/jobs?search_keywords=Threat%20Intelligence.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Cross-Functional Leadership](https://jobicy.com/jobs?search_keywords=Cross-Functional%20Leadership.md)

Sample interview questionsHow would you prioritize multiple active abuse operations when investigative capacity is limited?I would assess each operation using a consistent framework covering user harm, scale, growth rate, exploitability, confidence in attribution, and the expected effectiveness of available mitigations. I would prioritize urgent containment for severe harm while reserving capacity for scalable root-cause interventions, then communicate the trade-offs and review priorities as new evidence emerges.

Describe how you would turn an investigator-discovered abuse pattern into an automated countermeasure.

I would first document the behavior, actor workflow, affected surfaces, and measurable signals that distinguish abusive from legitimate activity. I would validate signal quality against representative data, partner with engineering or ML teams to implement rules or model features, define precision and recall guardrails, and monitor outcomes for attacker adaptation and unintended user impact.

What metrics would you use to evaluate whether a safety intervention is successful?

I would use a balanced set of metrics: prevalence of the targeted abuse, detection and enforcement coverage, time to detection, recurrence rates, user-report signals, appeal or false-positive rates, and operational workload. Where feasible, I would use controlled experiments or phased rollouts to isolate intervention impact and assess downstream displacement to other product surfaces.

How do you lead a mixed team of analysts, data scientists, and researchers during a fast-moving incident?

I establish a clear incident owner, define immediate containment and investigation workstreams, and set a reliable update cadence. I match work to each discipline's strengths while keeping everyone aligned on the threat hypothesis, decision criteria, and user-harm objective; after resolution, I run a retrospective focused on durable prevention and process improvements.

How would you explain a complex abuse trend and recommended investment to senior leadership?

I would lead with the business and user-safety impact, quantify the scale and trajectory, and describe the threat in plain language. I would then present the evidence, recommended options, expected benefits, risks, resource requirements, and a clear decision request, while keeping technical detail available in supporting materials.

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.

Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world.

We’re looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation.

What You’ll Be Doing

* Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns.
* Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation.
* Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures.
* Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse.
* Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools.

What you should have

* 2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent.
* 4+ years of experience working in a Trust & Safety domain, such as fraud, spam, scams, account compromise or other high-volume threats.
* Fluency in SQL and/or Python for data investigation and pattern analysis.
* Strong analytical problem-solving skills, with expertise in measurement and experimentation.
* Demonstrated ability to drive automation adoption within operations or incident response workflows that increase the team’s leverage and reduce manual work.
* Excellent communication and cross-functional collaboration skills, with an ability to translate complex technical topics into clear takeaways for senior leadership.

Bonus Points

* Experience leveraging LLMs or AI agents for incident response, investigation automation, or signal triage.
* Experience tackling scaled abuse at large social platforms, marketplaces, or other high-volume consumer products.
* Threat intelligence research background, including understanding of internet infrastructure and the tools and techniques attackers use.
* A strong passion for Discord and/or gaming, and an appreciation for the communities we serve.
* A relevant degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

The US base salary range for this full-time position is $220,000 to $275,000 + 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 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.](https://discord.com/terms/applicant-candidate-privacy-policy)

Show more

[Apply now >](https://jobicy.com/jobs/151768-manager-safety-analytics.md)

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