Trust & Safety Analyst Engineer

Lovable; Town of Stockholm (NY); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

Lovable seeks a trust & safety engineer to build, analyze, and scale systems that protect users from harmful content, fraud, and abuse. You will translate safety policies into automated logic and backend workflows, collaborating with data, engineering, and product teams to turn policy into detection and enforcement.

You’ll work at speed, handle sensitive material, and help shape scalable moderation tooling for a platform trusted by millions.

Qualifications

• 3+ years of experience in trust & safety, platform integrity, or related role at a consumer tech company.
• Strong technical foundation: comfortable writing code, querying data, and building backend workflows at scale.
• Ability to translate safety policies into automated logic, machine learning features, and scalable systems.

Responsabilités

• Build, analyze, and scale systems that protect Lovable users from harmful content, fraud, and abuse.
• Translate safety policies into automated logic, ML features, and scalable backend workflows.
• Collaborate with trust & safety, data, engineering, and product teams to turn policy into detection and enforcement.
• Identify trends across cases and abuse patterns; feed back into policy, tooling, and detection.
• Escalate complex or high-severity cases to T&S Experts, Legal, and Engineering with crisp summaries.
• Help build AI-assisted moderation tooling for a small team to work more effectively.

Connaissances

Trust & Safety experience

Data analysis

Software engineering

Backend development

Policy translation

Ambiguity judgment

Communication

DSA familiarity

Description du poste

TL;DR You'll build, analyze, and scale the systems that keep Lovable a platform the world can trust. Sitting at the intersection of data analysis, software engineering, and policy enforcement, you'll turn safety policies into automated logic that protects millions of users from harmful content, fraud, and abuse.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we're just getting started.

We're building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME's 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 3+ years in trust & safety, platform integrity, or a related role combining data analysis and engineering at a consumer tech company.

• Strong technical foundation: you're comfortable writing code, querying data, and building backend workflows that run at scale.

• The ability to translate safety policies into automated logic, machine learning features, and scalable systems.

• Sharp judgment under ambiguity. You can dig into a pattern of abuse, gather context, and make the right call quickly.

• Comfort with sensitive content and a steady temperament. You know how to protect yourself while working close to hard material.

• Operational rigor: you document decisions, spot patterns, and turn one-off cases into policy and tooling improvements.

• Strong written English and clear, empathetic communication with users and internal teams.

• Bonus: familiarity with DSA, NCMEC reporting, or working with law enforcement requests.

What you'll do

• Build, analyze, and scale the systems that protect Lovable users from harmful content, fraud, and abusive behavior.

• Translate safety policies into automated logic, machine learning features, and scalable backend workflows.

• Collaborate closely with trust & safety specialists, data, engineering, and product teams to turn policy into detection and enforcement.

• Identify trends across cases and abuse patterns, and feed them back into policy, tooling, and detection.

• Escalate complex or high-severity cases to T&S Experts, Legal, and Engineering with crisp summaries.

• Help build the AI-assisted moderation tooling that lets a small team punch far above its weight.