Trust & Safety Engineer, Webflow

• 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.)

Desirable

• Please note: This position involves exposure to sensitive and graphic content, including but not limited to vulgar, violent, and sexual content
• We’re looking for a Trust & Safety Engineer to help prevent abuse at scale by building technical controls across authentication, account integrity, and core product
• This role will focus heavily on stopping abuse at login and registration, mitigating automated and coordinated attacks, and partnering closely with internal teams to address logic abuse across the product
• This is an engineering role focused on building durable, scalable abuse prevention systems to reduce risk exposure while preserving legitimate user growth and experience
• Reporting to the Senior Manager of Trust & Safety
• 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