Webflow is building the world’s leading AI-native Digital Experience Platform as a remote-first company. They are seeking a Trust & Safety Engineer to help prevent abuse at scale by building technical controls across authentication, account integrity, and core product, focusing on mitigating automated and coordinated attacks.
Responsibilities:
- Harden login and registration flows using risk-based controls such as rate limiting, behavioral signals, progressive friction, and automated mitigation
- Partner closely with Security and Engineering teams to identify and remediate abuse
- Develop internal Trust & Safety tooling that centralizes risk signals, improves investigation workflows, and automates enforcement actions
- Create and productionize abuse detection logic by translating adversarial patterns into scalable signals, metrics, and engineering controls
Requirements:
- BA/BS degree or equivalent experience
- 5–8 years of software engineering experience, with at least 2–3 years in trust & safety, security engineering, or fraud/abuse prevention
- Proficiency in one or more backend languages (Python, Go, Node.js, etc.)
- Experience building and maintaining internal tooling at scale
- Experience building and publishing applications on cloud platforms (AWS, Cloudflare, etc.)
- Familiarity with data pipelines and querying large datasets (SQL, BigQuery, etc.) to surface abuse patterns
- Experience with rate limiting, fingerprinting, bot detection, or similar abuse prevention primitives
- Experience implementing observability, metrics, and alerting (OpenSearch, Datadog, CloudWatch, etc.)