Application Guide

How to Apply for Senior GenAI Analyst

at Alice (ActiveFence)

🏢 About Alice (ActiveFence)

ActiveFence is a leader in online safety, protecting over 3 billion users and major AI foundation models from digital threats. What makes them unique is their focus on proactive security for cutting-edge technologies like generative AI, working with top tech platforms to create safer online experiences. This is an opportunity to work at the intersection of AI safety and cybersecurity for a company that directly impacts how AI systems are secured globally.

About This Role

As a Senior GenAI Analyst at ActiveFence, you'll design and execute advanced red-teaming exercises to identify vulnerabilities in generative AI systems. This role is impactful because you'll be probing the safety of AI models used by billions, directly contributing to tools and methodologies that protect against adversarial attacks. Your work will help shape how AI systems are tested and secured across the industry.

💡 A Day in the Life

A typical day might involve designing new adversarial test cases for generative AI models, analyzing results from automated testing runs, and collaborating with the team to improve red-teaming methodologies. You could spend part of your day developing new prompts to probe specific vulnerabilities, documenting findings for client reports, and contributing to internal tools that scale your team's testing capabilities.

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Interview Prep

Practice questions for this role

🎯 Who Alice (ActiveFence) Is Looking For

  • Has hands-on experience designing red-teaming exercises specifically for AI/ML systems, not just traditional cybersecurity
  • Can demonstrate creative adversarial prompt engineering across multiple risk domains (e.g., bias, security, content safety)
  • Possesses both analytical skills to identify vulnerabilities and technical ability to contribute to testing infrastructure
  • Understands the unique challenges of generative AI safety beyond just model performance metrics

📝 Tips for Applying to Alice (ActiveFence)

1

Include specific examples of adversarial prompts you've developed and what vulnerabilities they revealed

2

Highlight any experience with AI safety frameworks or red-teaming methodologies you've used or developed

3

Mention any contributions to testing tools or infrastructure in previous roles

4

Research ActiveFence's public work on AI safety and reference it in your application

5

Quantify your impact where possible (e.g., 'identified X vulnerabilities leading to Y safety improvements')

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with AI red-teaming methodologies and how they apply to generative AI systems', "Examples of adversarial prompts you've developed and the insights they generated", "How you've contributed to testing tools or infrastructure in past roles", "Why you're specifically interested in AI safety at ActiveFence versus other companies"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → ActiveFence's blog posts and research papers on AI safety and red-teaming
  • → Their client base and the types of AI systems they likely secure
  • → Recent news about AI safety incidents and how ActiveFence might address similar threats
  • → The company's approach to balancing AI safety with innovation and utility

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk us through how you would design a red-teaming exercise for a large language model
2 What are the most challenging aspects of developing effective adversarial prompts for generative AI?
3 How would you communicate complex model vulnerabilities to both technical and non-technical stakeholders?
4 Describe a time you contributed to improving testing tools or infrastructure
5 What do you see as the biggest emerging threats in generative AI safety?
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⚠️ Common Mistakes to Avoid

  • Focusing only on traditional cybersecurity red-teaming without AI/ML-specific experience
  • Being unable to provide concrete examples of adversarial prompts or testing methodologies
  • Treating AI safety as purely a technical problem without considering ethical and societal implications

📅 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 Alice (ActiveFence)!

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