Senior Staff Product Security Engineer, AI Security & Security Assurance

This Senior AI Security Engineer role focuses on integrating security into the software development lifecycle, including secure CI/CD pipelines, SSDLC practices, and threat modeling. The engineer will also assess and mitigate AI-specific risks such as prompt injection and LLM supply chain vulnerabilities, requiring 4+ years of cybersecurity experience and familiarity with AI security frameworks.

Focuses on securing AI agent products, conducting threat modeling, security reviews, and implementing security controls for AI-driven features.

This security engineer role builds the security foundations for an enterprise AI platform, embedding security into the development lifecycle. Responsibilities include threat modeling LLM architectures, establishing SAST/DAST scanning in CI/CD pipelines, and partnering with engineering teams to create secure coding standards. The role focuses on securing AI agents and training data pipelines, tackling novel challenges in AI security.

This role focuses on securing applications and AI systems, conducting security assessments, and implementing security controls. The engineer will work on threat modeling, vulnerability management, and ensuring AI models are robust against adversarial attacks.

This role builds and scales Medallia's data platform, which underpins its experience management solutions. The engineer will design and maintain data pipelines, storage, and processing systems to handle large-scale customer experience data, ensuring high availability, performance, and reliability of the data infrastructure.

This leadership role oversees product management for Medallia's Experience Cloud and shared services, defining product strategy, roadmap, and execution for the core experience management platform. The director will align cross-functional teams, drive innovation, and deliver value to enterprise customers.