Resend
Operations
DataAnalyst,Trust&Safety
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst, Trust & Safety at Resend. Skills: SQL, data tooling, measurement, estimation, sampling, statistical validation, prediction, classification models. Root-cause investigations of unexpected events or spikes. Deeply understand and stay up to date on email abuse vectors and trends”
What You'll Achieve.
prevent harmful users; enable good senders and scale; time to detect; false-positive rate; coverage; enforcement latency; metrics that drive decisions
Industry & Context.
Root-cause investigations; identify abuse patterns; develop scalable detection systems; sense of measurement: you build metrics that drive decisions; thrive in ambiguity; build frameworks out of thin air; estimation; sampling; statistical validation; prediction; classification models
What They're Looking For.
Must Have
3+ years in data or analytics roles, Fluent in SQL, Experience with estimation, sampling, statistical validation
Nice to Have
Ideally in security, fraud, or trust and safety, Familiarity with prediction and classification models
What You'll Do.
Root-cause investigations of unexpected events or spikes
Deeply understand and stay up to date on email abuse vectors and trends
and monitor key metrics: time to detect
Build dashboards and reports for real-time and historical visibility into behavior and policy violations
Analyze signal effectiveness: precision
Work with data engineering to shape data pipelines (ensuring data correctness
Partner with engineering & ops to A test rule changes
How You'll Work.
Team & Collaboration
Partner with engineering & ops
Communication Scope
can explain nuanced analytics to non-data folks
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 & Safe
Applying for this Data Analyst, Trust & Safety role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Resend?
Real rants from real employees. Read before you apply.