Application Guide
How to Apply for GenAI Security Specialist
at ActiveFence
🏢 About ActiveFence
ActiveFence provides specialized Trust & Safety tools for online platforms, focusing on content moderation and security at scale. Their unique position at the intersection of AI security and online safety makes them a pioneer in protecting generative AI systems from emerging threats. Working here offers the opportunity to directly impact how cutting-edge AI technologies are secured in real-world applications.
About This Role
As a GenAI Security Specialist at ActiveFence, you'll conduct sophisticated red team operations specifically targeting generative AI models (language models, image generators, agentic frameworks) to identify vulnerabilities before malicious actors do. This role is impactful because you'll be securing the AI technologies that power modern online platforms, directly contributing to safer AI deployment across ActiveFence's client ecosystem.
💡 A Day in the Life
A typical day involves designing and executing targeted attacks on commercial generative AI systems, analyzing results to identify security gaps, and collaborating with security engineers to develop mitigation strategies. You'll spend time researching emerging AI attack techniques, documenting findings with technical precision, and potentially testing new AI features before they're deployed to ActiveFence's platform clients.
🚀 Application Tools
🎯 Who ActiveFence Is Looking For
- Has hands-on experience conducting vulnerability research specifically on AI/ML systems, not just traditional software
- Demonstrates deep understanding of generative AI architecture, including transformer-based models and agentic frameworks
- Can articulate specific methodologies for attacking AI models (prompt injection, model extraction, data poisoning, etc.)
- Shows practical experience with AI security tools and frameworks relevant to red team operations
📝 Tips for Applying to ActiveFence
Highlight specific AI red team projects in your resume - mention the types of models you attacked (e.g., 'conducted prompt injection attacks on GPT-4 API' or 'tested image generation model guardrails')
Reference ActiveFence's Trust & Safety focus by connecting your AI security experience to content moderation or platform safety contexts
Prepare concrete examples of how you've documented and communicated red team findings to technical and non-technical stakeholders
Demonstrate awareness of the regulatory landscape for AI by mentioning specific frameworks (EU AI Act, NIST AI RMF, etc.) relevant to their 'safety-by-design' focus
Show how your experience aligns with their commercial focus - emphasize work on production AI systems rather than just academic/research models
✉️ What to Emphasize in Your Cover Letter
['Your specific experience attacking generative AI models (mention model types and attack techniques used)', 'How your red team work has led to tangible security improvements in production AI systems', 'Understanding of the Trust & Safety context and why AI security matters for online platforms', 'Experience collaborating with security teams to implement risk mitigation strategies for AI vulnerabilities']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → ActiveFence's specific Trust & Safety products and how they integrate AI technologies
- → Recent blog posts or research publications from ActiveFence about AI security or content moderation
- → Their client base (likely social platforms, marketplaces, etc.) to understand the operational context
- → The team structure - look for security research team members on LinkedIn to understand their backgrounds
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Only discussing traditional application security without AI-specific experience
- Failing to demonstrate hands-on experience with actual AI model testing (theoretical knowledge only)
- Not connecting AI security work to business impact or Trust & Safety outcomes
- Using generic security terminology without AI-specific context (e.g., saying 'penetration testing' without specifying AI models)
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!