Trust and Safety Analyst Engineer
AI app builder that turns natural-language prompts into full-stack web applications.
Maintainer signals as of 8/14/2026
Stockholm, Sweden
About Lovable
Lovable (lovable.dev) is a Swedish AI software-builder platform: users describe an app in natural language and Lovable generates production full-stack code — one of the fastest-growing AI products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You build, analyze, and scale systems that protect users from harmful content, fraud, and abusive behavior. You translate safety policies into automated logic, machine learning features, and backend workflows, identify abuse patterns, improve policy and tooling, escalate severe cases, and support AI-assisted moderation.
Requirements
- 3+ years of experience in trust and safety, platform integrity, or a related data analysis and engineering role
- Code-writing ability
- Data querying
- Backend workflow development
- Safety policy automation
- Machine learning features
- Data analysis
- Operational documentation
- Strong written English
- DSA familiarity
- NCMEC reporting familiarity
- Law enforcement request experience
Responsibilities
- Build, analyze, and scale systems that protect users from harmful content, fraud, and abuse
- Translate safety policies into automated logic
- Build machine learning features
- Build scalable backend workflows
- Collaborate with trust and safety, data, engineering, and product stakeholders
- Identify trends in cases and abuse patterns
- Improve policy, tooling, and detection
- Escalate complex or high-severity cases with clear summaries
- Build AI-assisted moderation tooling
