Data Analyst, Trust & Safety
Role Overview
As the first Data Analyst on the Trust & Safety squad, you will investigate abuse patterns, analyze behavioral signals, and develop scalable detection systems to prevent harmful users while enabling good senders. Your day-to-day involves root-cause investigations, defining and monitoring key metrics like false-positive rate and detection time, building dashboards, and partnering with engineering to A/B test rule changes. This is a mid-level role requiring 3+ years of experience, where you'll have significant impact on protecting the email platform for over 1M users.
Perks & Benefits
Resend is a fully remote company with a team of 45 spanning 12 countries, offering flexibility in work location and time zones. You'll have the opportunity to shape the data function in Trust & Safety from the ground up, working with a modern tech stack and backed by top investors like a16z and Y Combinator. The company emphasizes quality, craft, and developer experience, fostering a culture of ownership and impact.
Full Job Description
Email is unlike any other medium in the world. With just an address, anyone can talk to anyone, no matter their location, status, or class. It’s democratized access, it’s a sacred privilege, and it’s worth protecting at all costs.
Resend is building the most accessible email platform for developers. As we’ve grown to 1M+ users and continue to onboard thousands of new users every day, the pressure of maintaining a safe place for good senders continues to build up.
As the first Data Analyst on our Trust & Safety squad, you will wear many investigative hats— identifying abuse patterns, analyzing behavioral signals, and developing scalable detection systems that prevent harmful users and enable good senders and scale.
In this role, you will…
Root-cause investigations of unexpected events or spikes
Deeply understand and stay up to date on email abuse vectors and trends
Define, instrument, and monitor key metrics: time to detect, false-positive rate, coverage, enforcement latency
Build dashboards and reports for real-time and historical visibility into behavior and policy violations
Analyze signal effectiveness: precision, recall, drift, overlap, etc
Work with data engineering to shape data pipelines (ensuring data correctness, coverage, freshness)
Partner with engineering & ops to A/B test rule changes, evaluate trade-offs, and iterate
Who You Are..
3+ years in data or analytics roles (ideally in security, fraud, or trust and safety)
Fluent in SQL + data tooling (e.g. Looker, Mode, Metabase, BI)
Comfortable working with large event/data sets
Strong sense of measurement: you build metrics that drive decisions
Good communicator—can explain nuanced analytics to non-data folks
You thrive in ambiguity, can build frameworks out of thin air
Experience with estimation, sampling, statistical validation
Familiarity with prediction and classification models
Learn more about how we work in Trust and Safety:
https://resend.com/philosophy
Trust & Safety investment blog post
https://resend.com/handbook/success/what-is-our-philosophy-for-anti-abuse
https://resend.com/handbook/engineering/what-is-our-tech-stack
About Resend
We are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience.
Our fully remote team of 45 spans 12 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →
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