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Staff Product Security Engineer

AlphaSense

France · flexible Contract Lead 1w ago

About the role

About

We’re looking for a Staff Product Security Engineer to lead the design and implementation of secure, scalable, and trustworthy products spanning AI, data, and cloud-native systems. You’ll work closely with engineering, data science, and infrastructure teams to embed security by design throughout the product lifecycle. This role sits at the intersection of AI/ML security, secure product development, and container/cloud-native protection, helping define the architecture, automation, and frameworks that enable secure, intelligent products at scale.

Responsibilities

  • Embed robust security practices throughout the software and AI development lifecycle (SDLC)
  • Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services
  • Partner with engineering and product teams to ensure security, privacy, and compliance by design
  • Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows
  • Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments
  • Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft
  • Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act
  • Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations
  • Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management
  • Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction
  • Build internal frameworks for continuous assurance and real-time vulnerability management
  • Define and maintain reference security architectures for microservices, APIs, and AI-powered systems deployed in the cloud
  • Mentor teams on secure coding, containerization best practices, and AI risk management
  • Promote a security-first culture through advocacy, documentation, and training
  • Represent product security in cross-functional initiatives and leadership discussions

Benefits

  • Work from home opportunities

Skills

AIAI/MLAPIsAWS LambdaCloud-nativeContainerizationDataDevOpsDockerEU AI ActGovernanceMicroservicesNIST AI RMFPrivacyProduct SecuritySRESecure CodingService MeshSoftware Supply Chain SecurityVulnerability Management

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