Principal Product Manager
@ Zenity

Hybrid
Hybrid
Full-time
Posted 20 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @zenity.com
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Job Details

About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in Series B funding, reinforcing our leadership in the industry.

About the Job

The Principal Product Manager at Zenity will drive the roadmap and execution of our cybersecurity product portfolio. This role is deeply integrated within our engineering discipline, focusing on addressing customer pain points, product lifecycle management, and enhancing low-code/no-code application security.

  • Become an expert in low-code/no-code security.
  • Own major pillars of our cybersecurity product offerings.
  • Collaborate with engineering and research to integrate AI and generative AI technologies such as Copilot.
  • Report directly to the VP of Product Management.
  • Define features, manage backlogs, and communicate project updates.

Requirements

  • 7+ years of product management experience.
  • Strong security, cloud, and technical background especially in AI and generative AI.
  • Excellent communication and presentation skills in English.
  • Strong customer empathy and proven track record in product delivery.

Key skills/competency

Principal Product Manager, cybersecurity, low-code, AI, generative AI, Copilot, roadmap, backlog, customer empathy, collaboration

How to Get Hired at Zenity

🎯 Tips for Getting Hired

  • Research Zenity's culture: Understand their mission and funding news.
  • Customize your resume: Highlight product and security expertise.
  • Prepare portfolio examples: Demonstrate past product successes.
  • Practice technical discussions: Brush up on AI and cloud security.

📝 Interview Preparation Advice

Technical Preparation

Review cloud security fundamentals.
Study AI and generative AI integrations.
Understand low-code/no-code platforms.
Practice product feature backlog management.

Behavioral Questions

Describe handling conflicting priorities.
Explain overcoming team challenges.
Show customer empathy examples.
Discuss collaborative project experiences.

Frequently Asked Questions