Technical Product Manager for AI Security Products

Accountabilities

• • Own, maintain, and prioritize the product backlog, balancing customer needs, technical opportunities, business priorities, and emerging security risks.
  • Partner with engineering, data science, threat research, sales engineering, professional services, marketing, and support teams to define requirements and deliver high-quality product capabilities.
  • Monitor the adversarial AI threat landscape, including MITRE ATLAS, and translate emerging attack techniques into product detection and security requirements.
  • Gather customer insights through direct engagement, identifying pain points, requirements, and opportunities that inform product enhancements.
  • Conduct market and competitive analysis to identify emerging trends, opportunities, risks, and developments across AI, machine learning, and cybersecurity.
  • Define product requirements, use cases, specifications, and acceptance criteria while ensuring proposed solutions are technically feasible and effective.
  • Coordinate product launches and contribute to go-to-market strategies that support adoption, positioning, and commercial success.
  • Apply Agile product development practices and effective project management to move initiatives from concept through delivery.
  • Help communicate complex technical challenges, product decisions, and security priorities clearly to both technical and non-technical stakeholders.
  • Contribute to the continuous evolution of AI security products in a fast-moving, emerging technology market.

  Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or another related technical discipline.
  • Strong technical background in AI, machine learning, data science, or machine learning operations, combined with a solid understanding of cybersecurity principles, practices, and industry standards.
  • In-depth knowledge of AI techniques, algorithms, frameworks, and AI operations tools.
  • Experience working as a technical product manager in cybersecurity, AI, data science, machine learning, or a closely related domain.
  • Demonstrated ability to collaborate effectively with engineering, data science, threat research, marketing, sales, and support teams.
  • Experience with Agile product development methodologies and project management tools.
  • Strong analytical skills and the ability to assess complex technical challenges and develop practical, effective solutions.
  • Excellent communication, presentation, relationship-building, and interpersonal skills.
  • Ability to translate complex technical concepts into clear product requirements, priorities, and business outcomes.
  • Flexible, adaptable, and self-motivated approach, with the ability to operate effectively in a rapidly changing environment.
  • Collaborative mindset combined with intellectual curiosity, humility, accountability, and a positive approach.
  • Previous experience developing and/or launching successful machine learning or cybersecurity products is a plus.
  • Experience in adversarial AI, AI security, threat research, or related emerging security technologies is particularly valuable.

  Benefits

  • Fully remote work environment for U.S.-based employees.
  • Generous home-office setup stipend, annual workspace upgrade support, and monthly internet/phone stipend.
  • Comprehensive health and wellness benefits, including multiple medical plan options, with several plans fully subsidized.
  • Vision and dental insurance.
  • 401(k) retirement benefits.
  • Unlimited and flexible paid time off for salaried employees.
  • 15 paid company holidays.
  • Dedicated learning and development fund for training, conferences, certifications, and industry events.
  • Opportunities to collaborate with leading experts across AI, cybersecurity, data science, and threat research.
  • Intentional opportunities for a distributed team to connect in person several times each year.
  • Commitment to diversity, equity, inclusion, and an environment where different perspectives and experiences are valued.