Product Security Engineer (AI)

TL;DR

Product Security Engineer (AI): Building security directly into a next-generation Data+AI Security platform with an accent on cloud-native architecture and automated threat mitigation. Focus on embedding security throughout the software development lifecycle and designing scalable controls for complex cloud and AI/ML environments.

Location: Must be based in the United States

Company

A platform facilitating AI-powered matching between candidates and partner companies in the technology sector.

What you will do

• Lead the design and implementation of security-focused features and automation capabilities.
• Embed security principles across the software development lifecycle in collaboration with engineering and product teams.
• Develop features to detect, prevent, and remediate threats in cloud and AI/ML environments.
• Define security-related product requirements and architecture decisions.
• Design and implement cloud-native security controls for infrastructure and application risks.
• Support secure system design decisions balancing usability, performance, and security.

Requirements

• Must be based in the United States
• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field.
• 5+ years of experience in software engineering with a focus on product or application security.
• Strong proficiency in cloud-native development and distributed systems programming.
• Deep understanding of secure software development, vulnerability management, and threat modeling.
• Hands-on experience with cloud security across AWS, Azure, or GCP.
• Knowledge of data privacy regulations like GDPR and CCPA.

Nice to have

• Experience building automation for security remediation in cloud environments.
• Exposure to security challenges in AI/ML systems.

Culture & Benefits

• Flexible work environment with remote options.
• Company-provided equipment and flexible expense policy.
• Continuous learning and development opportunities including technical training.
• Inclusive, diverse, and equal opportunity workplace culture.
• Opportunity to work on cutting-edge Data+AI security and generative AI technologies.