Resend

DevOps Engineer

• Evolve and shape our on-call processes — from detection to resolution
• Build automation for recovery, scaling, and self-healing systems
• Improve observability across the stack: logs, metrics, traces, and dashboards
• Define and track SLOs for core systems like email delivery, API latency, and queue performance
• Collaborate closely with engineering teams to design for reliability, not just react to incidents
• Codify playbooks, postmortems, and reliability standards
• Work with infrastructure spanning AWS, queues, databases, and workers

Site Reliability Engineer, Infra

Technical Customer Success

• Be the front-line of customer requests
• Debug, report, and sometimes fix bugs and regressions
• Advocate for customer needs to the greater Resend team
• Iterate internal workflows to improve our resolution speed and efficacy
• Proactively build relationships and identify potential papercuts for customers
• Create documentation that answers customer questions or showcases solutions

Customer Success Engineer

Data Scientist

• Facilitate a novel, zero-friction approach to email sending
• Investigate the root-causes of anomalies and gang attacks
• Analyze signal effectiveness: precision, recall, drift, overlap, etc
• Consult with data engineering to shape purpose-built data pipelines
• Deeply understand and stay up to date on email abuse vectors and trends
• Build dashboards and alerts for real-time visibility into behavior and policy violations
• Build machine learning models to prevent abuse at scale with zero false-positive budget

Data Scientist, Trust & Safety

Data Engineer

• Build and maintain ETL / streaming pipelines for logs, events, metadata, attribution
• Work on aggregation, feature construction, smoothing, and correctness layers
• Ensure data quality: alerting, reconciliation, schema validation, drift detection
• Optimize for low-latency queries and data access patterns used by enforcement engines and dashboards
• Partner with software engineers and analytics to expose data in APIs or internal tools
• Instrument logging and observability within your pipelines (monitoring, health dashboards)
• Over time, help build feature stores or real-time feature services for models or rules

Data Engineer – Trust & Safety

Full-stack Engineer

• Build and maintain internal services for enforcement, throttling, and policy rules
• Design automation pipelines that move from detection → decision → action
• Connect with core infrastructure: databases, queues, caching layers, and observability stacks
• Implement safeguards: fail-safes, fallback paths, and guardrails to prevent over-blocking
• Collaborate with teams to turn raw signals into actionable workflows
• Ensure all enforcement actions are traceable with logs, metrics, and audit trails

Software Engineer, Trust & Safety

Data Analyst

• 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 policy & ops to A/B test rule changes, evaluate trade-offs, and iterate

Site Reliability Engineer, Infra

Site Reliability Engineer, Infra

Customer Success Engineer

Data Scientist, Trust & Safety

Data Engineer – Trust & Safety

Software Engineer, Trust & Safety

Data Analyst – Trust & Safety