Senior Product Security Engineer, AI Security & Security Assurance

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

We are seeking a Senior Staff Product Security Engineer to lead Medallia's security strategy and assurance efforts for AI-powered products, agentic systems, next-generation platforms, and emerging technologies.

This individual will serve as the technical leader for AI Security and Security Assurance, partnering with Product, Engineering, Architecture, Data Science, and Security teams to ensure security is embedded into the design, development, and deployment of modern AI-enabled capabilities.

The ideal candidate combines deep expertise in application security, threat modeling, and security architecture with a strong understanding of Generative AI, LLMs, AI agents, and secure system design. They will identify emerging risks, establish scalable security practices, and help define Medallia's long-term approach to securing AI-enabled products and platforms.

• Serve as the technical authority for security reviews involving:
  • Generative AI applications
  • LLM-powered features
  • AI agents
  • Agentic workflows
  • MCP (Model Context Protocol) integrations
  • AI skills and marketplaces
  • AI coding assistants
  • Bring Your Own Model (BYOM) capabilities
• Define security requirements and guardrails for AI-enabled products and services.
• Evaluate emerging AI technologies and assess associated security risks.
• Partner with engineering and product teams to ensure AI features are secure by design.

• Lead threat modeling efforts for critical product and platform initiatives.
• Establish and scale a threat modeling program across engineering organizations.
• Conduct security architecture reviews for high-risk and strategic initiatives.
• Develop security reference architectures, design patterns, and guidance for engineering teams.
• Identify systemic security risks and drive long-term remediation strategies.

• Own and evolve Product Security assurance activities including:
  • Security reviews
  • Security assessments
  • AI security reviews
  • Security testing strategies
  • Security requirements and standards
• Define risk‑based approaches for evaluating emerging technologies.
• Partner with engineering teams to embed security validation throughout the SDLC.

• Establish secure development standards for AI-enabled applications.
• Drive adoption of secure coding practices across engineering teams.
• Develop scalable developer guidance and security enablement programs.
• Evaluate and implement approaches to improve security feedback during development, including AI‑assisted security review capabilities.

• Identify opportunities to automate security reviews and reduce manual effort.
• Partner with security tooling owners to improve developer experience and security coverage.
• Define metrics that measure effectiveness of AI security and security assurance programs.
• Evaluate emerging security technologies relevant to AI and modern software development.

• Partner closely with Product, Engineering, Architecture, Data…