Senior Content Lead at Brandlight
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Lead executive thought leadership, research-led storytelling, and content distribution at Brandlight. Build AI visibility narratives for enterprise marketing audiences.
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OpenRouter is an artificial intelligence platform that gives developers and teams a unified way to access and work with large language models from different providers. Its model catalog includes options such as Mistral Small 3 and DeepSeek R1 Distill Qwen 32B, supporting applications that prioritize speed, accuracy, and flexible model selection. OpenRouter also offers tools for coding and gaming, with potential applications across areas including marketing, finance, and education.
Remote Trust & Safety Software Engineer at OpenRouter
Build abuse, fraud, and content-safety systems for OpenRouter’s AI routing infrastructure. Own detection, enforcement, review tools, and risk analytics.
United States$215,000 – $285,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredFull-stack EngineerSoftware EngineerDescription
- Design and run systems across signup, payments, and usage flows to identify abuse and fraud early
- Manage the enforcement pipeline from detection through human review and cross-system restrictions
- Create investigation and enforcement tools such as case queues, evidence summaries, bulk actions, and alerts
- Deliver inference-path content-safety capabilities, including illegal-content detection and reporting
- Integrate or develop KYC systems and external intelligence sources to proactively identify fraud and abuse
- Develop detection systems, operational tools, and heuristics that support rapid, scalable enforcement
- Analyze incidents in production data, measure emerging patterns, and separate abusive behavior from false positives
- Implement monitoring for risk, abuse surges, and fraud while improving false-positive rates
- Guide technical strategy for abuse prevention and establish reusable engineering patterns
- Partner with data scientists to explore features and train machine-learning models for risk and abuse
Requirements
- At least four years of experience building and operating production systems, preferably in trust and safety, fraud, payment risk, security, or anti-abuse
- Proficiency with React, TypeScript, Next.js, and JavaScript runtimes
- Ability to query large event datasets with SQL
- Strong understanding of base rates, precision, recall, and the consequences of incorrect decisions
- Sound judgment when evidence is incomplete
- High ownership and a strong bias toward action
- An AI-forward working style that includes regular use of coding agents and workflow automation
- Comfort working in a small, fast-paced environment with changing team boundaries
- Discretion and resilience when handling disturbing material and sensitive user data
- Strong written and spoken communication skills
- Interest in solving adversarial problems
- Preferred: experience with payments-fraud tools such as Stripe Radar, chargebacks, disputes, or crypto payment risk
- Preferred: experience with identity and KYC systems
- Preferred: experience with LLM-related abuse, including jailbreaks, prompt injection, key theft and resale, shared or scraped credentials, or automated account farming
- Preferred: experience with large analytical data stores such as ClickHouse or BigQuery and observability platforms
- Preferred: familiarity with reporting and compliance requirements for hosted AI services
- Preferred: experience using OpenRouter or building side projects in AI products, infrastructure, or developer tools
Benefits
- Equity compensation
- Remote work within the United States
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