As the Senior Vice President (SVP) of Engineering at a high-growth cybersecurity company specializing in AI-powered security solutions, you will play a crucial role in leading all facets of engineering across the organization. This includes overseeing product development, AI security, research engineering, and platform scalability. Your main responsibility will be to define and execute the long-term technology vision while ensuring the rapid, secure, and high-quality delivery of AI-powered cybersecurity products. You will be at the forefront of innovation, bringing together product, research, and AI security to create a cohesive and high-performance organization. Your executive leadership role will involve shaping company culture, scaling technical teams, and helping define the company's global technical identity.
Key Responsibilities:
• Define and drive the overall engineering strategy aligned with the company's mission to deliver secure, AI-driven cybersecurity solutions.• Lead and scale a multi-disciplinary engineering organization covering Product Engineering, AI Cybersecurity, and Research Engineering.• Collaborate closely with executive leadership on the product roadmap, go-to-market strategy, and long-term technology investments.• Oversee secure, scalable, and fast software delivery, emphasizing quality through agile and Secure Software Development Lifecycle (SSDLC) practices.• Champion AI safety, privacy, and compliance in strategic and technical decisions.• Guide architectural decisions related to large-scale, cloud-native systems and machine learning infrastructure.• Represent the company in technical discussions with customers, investors, and external stakeholders.• Stay ahead of emerging trends in AI, cybersecurity, and secure software architecture to maintain a long-term competitive advantage.Qualifications:
• Bachelors or Masters degree in Computer Science, Engineering, or a related field; PhD or MBA is a plus.• Minimum 12+ years of experience in software engineering, with at least 5+ years in senior leadership or executive-level roles.• Proven success leading engineering teams in cybersecurity, AI/ML, or SaaS product environments.• Deep understanding of secure software architecture, adversarial AI, and cloud-native design principles.• Demonstrated experience delivering scalable, high-quality products in fast-paced or regulated environments.• Strong ability to collaborate cross-functionally with research, product, compliance, and go-to-market teams.• Strategic thinking with a bias for execution and sound decision-making across build vs. buy vs. partner options.• Excellent communication and leadership skills, with the ability to mentor and inspire engineering leaders.• Experience working with enterprise customers and mission-critical systems.Preferred Skills:
• Experience scaling engineering teams through early to growth stages.• Familiarity with AI/ML infrastructure, model risk management, and privacy-preserving technologies.• Working knowledge of security compliance frameworks (e.g., ISO/IEC 42001, NIST AI RMF, SOC2, GDPR).• Exposure to red/blue team dynamics and adversarial testing of AI systems.• Open-source contributions, patents, or publications in relevant technical areas. As the Senior Vice President (SVP) of Engineering at a high-growth cybersecurity company specializing in AI-powered security solutions, you will play a crucial role in leading all facets of engineering across the organization. This includes overseeing product development, AI security, research engineering, and platform scalability. Your main responsibility will be to define and execute the long-term technology vision while ensuring the rapid, secure, and high-quality delivery of AI-powered cybersecurity products. You will be at the forefront of innovation, bringing together product, research, and AI security to create a cohesive and high-performance organization. Your executive leadership role will involve shaping company culture, scaling technical teams, and helping define the company's global technical identity.Key Responsibilities:
• Define and drive the overall engineering strategy aligned with the company's mission to deliver secure, AI-driven cybersecurity solutions.• Lead and scale a multi-disciplinary engineering organization covering Product Engineering, AI Cybersecurity, and Research Engineering.• Collaborate closely with executive leadership on the product roadmap, go-to-market strategy, and long-term technology investments.• Oversee secure, scalable, and fast software delivery, emphasizing quality through agile and Secure Software Development Lifecycle (SSDLC) practices.• Champion AI safety, privacy, and compliance in strategic and technical decisions.• Guide architectural decisions related to large-scale, cloud-native systems and machine learning infrastructure.• Represent the company in technical discussions with customers, investors, and external stakeholders.• Stay ahead