How to apply for Technical Product Manager for AI Security Products

About HiddenLayer

HiddenLayer builds security solutions for machine learning algorithms and models. The company was founded by AI and security specialists and has won awards including RSA's Innovation Sandbox and CB Insights AI 100. It operates in the emerging market of adversarial AI defense.

About the role

This technical product manager role drives development of HiddenLayer's AISec Platform, which protects generative AI and agentic systems from cybersecurity threats. You will work with data science and AI threat research pioneers to develop, enhance, and deliver the product. The role is remote within the US and full-time.

A typical day

A typical day might involve meeting with data scientists and threat researchers to discuss new attack vectors and how the product should respond. You could also work on product requirements, prioritize features, and coordinate with engineering and go-to-market teams. Since the role is remote, much of the day is spent in virtual meetings and asynchronous communication.

Who HiddenLayer is looking for

• Has a strong background in cybersecurity and AI or machine learning.
• Has technical product management experience, ideally with security or AI products.
• Can work with data science and threat research teams to translate technical needs into product requirements.
• Understands adversarial AI attacks and how to defend against them, or can learn this quickly.

Tips for this application

• Highlight any experience with AI/ML security, adversarial attacks, or model scanning in your resume.
• Mention specific cybersecurity frameworks or threat modeling you have worked with.
• Reference HiddenLayer's products or awards (e.g., RSA Innovation Sandbox) in your cover letter to show you have done research.
• Explain how you have worked with data science or threat research teams in previous roles.
• Since the role is remote, note your ability to work independently and collaborate across time zones if applicable.

What to cover in your cover letter

['Your hands-on experience with AI security or adversarial machine learning.', 'A concrete example of managing a technical product from concept to delivery.', 'How you have collaborated with data scientists or security researchers.', "Why you want to work on AI security specifically, and why HiddenLayer's focus on adversarial AI defense matters to you."]

Research before applying

• Read HiddenLayer's website, especially their product pages and blog, to understand their AISec Platform.
• Look up the RSA Innovation Sandbox and other awards they have won to see what the judges recognized.
• Search for recent news or talks by HiddenLayer's founders or team about adversarial AI.
• Understand the basics of adversarial machine learning and common attack types like evasion, poisoning, and model extraction.

Likely interview topics

Based on the job description, expect questions about:

• How would you prioritize features for an AI security platform?
• Describe your experience with threat modeling for machine learning systems.
• How do you work with data science teams to define product requirements?
• What do you know about adversarial AI attacks and how to defend against them?
• How would you measure the success of a product that protects generative AI and agentic systems?

Common mistakes to avoid

• Applying without any demonstrated interest or knowledge in AI security or cybersecurity.
• Focusing only on general product management skills without showing technical depth in AI/ML.
• Ignoring the remote aspect and not indicating how you stay productive and connected in a remote setting.