Level

Resend

Software Engineer, Trust & Safety

Resend is hiring a Software Engineer, Trust & Safety for a remote role open to applicants in Ireland. Level rates it ; you can apply on Resend.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Node.js, TypeScript and React.
  • Level classifies it as a senior role.
  • Level lists 13 other open roles at Resend.

AI in this role

Software Engineer to build real-time anti-abuse systems, detection pipelines, and ML classifiers for email trust and safety.

node-jstypescriptreacthononext-jsgoawscdkdatadogpostgresredis
software-engineeringtrust-and-safetyanti-abusebackendml-classifiers

Resend is growing fast, and there are now over 4 million developers using it. We’re building tools that make email better for developers. We care about dependable infrastructure, thoughtful design, and the experience of everyone building with our products.

In this role you'll build the anti-abuse systems that keep Resend open for good senders and closed to bad actors: real-time enforcement on every email, detection pipelines that scale with the platform, and automations that go from detection to action without waiting on a human.

This role is fully remote based in Americas or European timezones, with some expected travel for team offsites, conferences, meetups, and more.

Read more about how we work, how we hire, and what we value here.

In this role, you will…

  • Build and run the real-time enforcement layer within a latency budget of milliseconds

  • Design pipelines that move from signal to decision to action, across sending, receiving and account activity

  • Build the detection rules and policies that decide when we act, and make them safe to change

  • Detect and contain account takeover and leaked API keys: notice when a trusted account stops acting like itself, and stop the damage without locking out the real owner

  • Close the feedback loop: every block and every reversal carries a reason, so we can measure each detection's precision and retire the ones that hurt good senders

  • Automate manual work such as investigations, appeals and bulk actions, so the team keeps up as volume grows

  • Build and evaluate ML classifiers for spam and phishing, and prove their precision before they enforce anything

  • Implement safeguards and make every action traceable through logs, metrics and audit trails

  • Ensure all enforcement actions are traceable with logs, metrics, and audit trails

You’ll be a great fit if you…

  • Bring 5+ years of software engineering experience

  • Are fluent in writing and speaking English

  • Have deep experience with Node.js, TypeScript, React (Hono, Next.js)

  • Write Go, or want to, for latency-sensitive services

  • Have infrastructure and reliability skills (AWS, CDK, Datadog)

  • Are comfortable with APIs, event-driven architectures, queues and stateful services

  • Design systems that fail safe, and treat a false positive as a bug

  • Care deeply about observability: metrics, logs, tracing, error handling

  • Take ownership across the stack, from frontend surfaces down to databases and queues

  • Have proven experience with databases (Postgres, Redis)

You will be an exceptional fit if you also...

  • Have worked in trust and safety, fraud or security

  • Have built real-time enforcement such as rate limiting, or a rules engine on a policy language like CEL

  • Have shipped ML or LLM-based detection in production, and know how to measure its precision and recall

  • Know email: SPF, DKIM, DMARC, bounces, complaints, and how phishing campaigns work

  • Have knowledge of database performance tuning (Postgres, Redis)

What it means to join the team:

  • Room to shape technical decisions and take projects from discovery through production

  • Work remotely with teammates around the world

  • Close collaboration with the developers who use what you build

  • Teammates who value thoughtful feedback, shared learning, and care for each other

  • A high bar for product quality, reliability, and the details that make software enjoyable to use

  • Comp: $150,000 - $175,000 USD, commensurate with location and experience

Learn more about how we work:

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 50 spans 15 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans →

How we rate this

Software Engineer, Trust & Safety at Resend rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringTrust And SafetyAnti AbuseBackendML ClassifiersNode.jsTypeScriptReact

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where trust and safety was part of your work. What did you do?
  3. Tell me about a project where anti abuse was part of your work. What did you do?
  4. Tell me about a project where backend was part of your work. What did you do?
  5. Tell me about a project where ml classifiers was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Trust And Safety, Anti Abuse, Backend, and ML Classifiers. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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