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.

🎯 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

1

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')

2

Reference ActiveFence's Trust & Safety focus by connecting your AI security experience to content moderation or platform safety contexts

3

Prepare concrete examples of how you've documented and communicated red team findings to technical and non-technical stakeholders

4

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

5

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
Visit ActiveFence's Website →

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a specific AI red team engagement you conducted - what model, what vulnerabilities you found, and how you reported it
2 How would you approach testing a commercial language model API for security vulnerabilities?
3 What are the most critical security threats facing generative AI models in production today?
4 How do global AI regulations (like the EU AI Act) impact red team testing methodologies?
5 Describe a time you had to explain complex AI security risks to non-technical stakeholders
Practice Interview Questions →

⚠️ 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:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

Offer

Congratulations!

Ready to Apply?

Good luck with your application to ActiveFence!