Talent.com
Product Manager - AI Security

Product Manager - AI Security

Diversity Talent ScoutsSan Jose, CA, US
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Job Description

Job Description

Our AI Platforms & Security group is dedicated to building AI-powered solutions that help organizations strengthen resilience and defend against modern threats. We believe in simplifying security without compromise and enabling businesses worldwide to safeguard their applications, data, and models.

What You’ll Do

As a Product Manager in AI Defense , you’ll take ownership of strategic initiatives that shape the future of AI security. You will :

  • Discover new opportunities in the market and influence product direction to establish leadership in AI security solutions.
  • Partner with engineering, UX, and product marketing teams to define requirements, prioritize development, and launch new features.
  • Manage the entire product lifecycle—from concept to delivery—ensuring customers are protected from adversarial threats, compliance challenges, and data leakage.
  • Monitor the rapidly evolving AI risk landscape and craft mitigation strategies that keep customers ahead of emerging vulnerabilities.
  • Gather insights directly from clients and partners to refine and enhance product offerings over time.

Minimum Qualifications

  • 5+ years of product management experience, with at least 2 years working on AI, machine learning, or cybersecurity products.
  • Demonstrated success scaling enterprise-grade technology solutions.
  • Background in AI or security, with a strong interest in solving complex technical and business challenges.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

    • Preferred Qualifications

  • Experience in cybersecurity and AI security, including protecting ML models and applications.
  • Exceptional analytical, problem-solving, and writing skills.
  • Strong communication and leadership capabilities with a track record of driving alignment across cross-functional stakeholders.
  • Practical experience addressing risks like adversarial AI, data leakage, and compliance exposure.
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