Technical Product Manager for AI Security Products

New
J
JobgetherCybersecurity and AI
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
Artificial IntelligenceCybersecurityMachine LearningProduct ManagementData scienceAgile methodologies

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.

Responsibilities

  • 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.
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