Technical Product Manager for AI Security Products

HiddenLayer is entering an exciting new chapter in our company history and we are seeking a Technical Product Manager for our AI Security products to drive the development of a groundbreaking cybersecurity platform to secure and protect against adversarial AI attacks. In this role, you'll have the opportunity to work with industry pioneers in data science and artificial intelligence threat research in a fast-paced emerging market.

Responsibilities:

• Translate customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques
• Manage, maintain, and prioritize HiddenLayer’s backlog of product and feature ideas
• Collaborate with internal stakeholders (engineering, data science, and threat research) to define requirements and deliver high-quality product capabilities and user experience
• Maintain vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer’s products
• Conduct comprehensive market research and competitive analysis to identify emerging trends, opportunities, and potential threats in the machine learning and cybersecurity landscape
• Engage with customers and gather feedback to understand their pain points, requirements, and preferences to drive product improvements
• Clearly define product requirements, use cases, and specifications, collaborating with engineering, data science, and threat research teams to ensure the feasibility and effectiveness of solutions
• Coordinate product launches and develop effective go-to-market strategies, collaborating with marketing, sales, and support teams to drive product adoption and success in the market

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field
• In-depth knowledge of AI techniques, algorithms, frameworks, and AI Operation tools
• Strong understanding of cybersecurity principles, best practices, and industry standards
• Experience working with cross-functional teams, including engineering, data science, threat research, marketing, sales, and support
• Proficient in Agile product development methodologies and project management tools
• Excellent communication, presentation, and interpersonal skills
• Ability to analyze complex technical challenges and propose effective solutions
• Flexible and adaptable self-starter with strong relationship building skills
• Collaborative and team oriented attitude
• Intellectual curiosity, humility, accountability, and positive approach
• Prior experience in developing and/or launching successful machine learning and/or cybersecurity products