Application Guide

How to Apply for GenAI Account Manager

at ActiveFence

🏢 About ActiveFence

ActiveFence is a Trust & Safety technology company that partners with leading AI labs and GenAI innovators to build safer, more trustworthy AI models. Unlike generic compliance platforms, they specialize in AI safety, red teaming, model evaluation, and post-training data solutions specifically for frontier AI development. Working here means shaping how cutting-edge AI models are evaluated and safeguarded at organizations building the future of artificial intelligence.

About This Role

As a GenAI Account Manager at ActiveFence, you'll be the primary business partner to top LLM labs and advanced AI teams, managing strategic relationships with organizations shaping frontier AI. You'll drive renewals and expansions across multiple workstreams while helping customers navigate evolving safety risks and evaluation methodologies in the rapidly changing GenAI landscape. This role directly impacts how leading AI organizations implement safety-by-design strategies and manage legal risks associated with AI development.

💡 A Day in the Life

A typical day involves strategic calls with AI lab stakeholders to understand their evolving safety needs, collaborating with internal technical teams to tailor ActiveFence solutions, and analyzing customer usage data to identify expansion opportunities. You'll spend time researching emerging AI regulations and safety methodologies to provide proactive guidance, while building multi-threaded relationships across customer organizations to ensure ongoing value delivery.

🎯 Who ActiveFence Is Looking For

  • Has experience managing strategic accounts with technical stakeholders in AI/ML, LLM development, or frontier technology companies
  • Demonstrates deep understanding of AI safety challenges, red teaming methodologies, and model evaluation frameworks
  • Can navigate complex organizational structures across research, product, safety, and leadership teams at AI labs
  • Stays current on global AI regulations, emerging evaluation methodologies, and frontier-model innovation cycles

📝 Tips for Applying to ActiveFence

1

Highlight specific experience with AI/ML companies, LLM developers, or technical account management in frontier technology

2

Demonstrate knowledge of AI safety frameworks, red teaming practices, or model evaluation methodologies in your resume

3

Research and reference specific ActiveFence solutions (AI Safety, Red Teaming, Model Evaluation, Post-Training Data) in your application

4

Show how you've stayed current on AI regulations and safety-by-design strategies in previous roles

5

Emphasize experience with multi-threaded relationship building across technical and leadership teams

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with AI labs, LLM developers, or technical account management in the AI/ML space', 'How you stay current on AI regulations, safety methodologies, and frontier-model innovation cycles', 'Examples of driving renewals and expansions with technical stakeholders in high-growth environments', "Why you're passionate about AI safety and helping organizations build trustworthy models"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • ActiveFence's specific AI Safety, Red Teaming, and Model Evaluation solutions mentioned in the job description
  • Recent news about AI regulations and safety frameworks that ActiveFence's customers would be navigating
  • The types of AI labs and GenAI innovators ActiveFence likely partners with (OpenAI, Anthropic, etc.)
  • How ActiveFence's Trust & Safety platform differs from general compliance or security solutions
Visit ActiveFence's Website →

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe your experience managing relationships with technical stakeholders at AI/ML companies
2 How do you stay informed about evolving AI safety risks and evaluation methodologies?
3 Walk through how you would approach renewals and expansions with a leading LLM lab customer
4 What strategies would you use to build multi-threaded relationships across research, product, and safety teams?
5 How would you help customers navigate the rapidly changing GenAI regulatory landscape?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Applying with generic account management experience without AI/ML or technical stakeholder context
  • Failing to demonstrate knowledge of AI safety concepts, red teaming, or model evaluation
  • Not showing awareness of the unique challenges facing LLM labs and frontier AI developers

📅 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!