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Senior Product Security Engineer

AlphaSense

Skills

Required

  • AI
  • cloud security
  • multi-cloud environments
  • encryption
  • symmetric and asymmetric cryptography
  • TLS / mTLS
  • key management
  • secrets handling
  • DevSecOps
  • CI/CD
  • Python / Java / JavaScript
  • security automation
  • Kubernetes

Preferred

  • CKS / CISSP / CSSLP / AI/ML security
  • triaging findings
  • AI/ML
  • software development lifecycle
  • align stakeholders

Join AlphaSense as a Senior Product Security Engineer, where you'll lead the design and implementation of secure, scalable, and trustworthy products across our AI-native platform. You'll work closely with architects, engineering, and product teams to embed security by design throughout the software development lifecycle. This role requires expertise in cloud security, AI/ML security, and secure architecture design. You'll also have the opportunity to mentor teams and promote a security-first culture.

Responsibilities

  • Lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense's AI-native platform, embedding security by design throughout the software development lifecycle.
  • Architect and enforce security controls for AI/ML systems, identifying and mitigating AI-specific attack vectors, and implementing model provenance, integrity, and auditability controls.
  • Drive cross-functional security initiatives, partnering with engineering, product, and compliance to embed security into roadmaps, influence architectural decisions, and align stakeholders across boundaries.
  • 5–7+ years in product, application, or cloud security engineering
  • Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure, with working knowledge of AI/LLM security (prompt injection, model integrity, provenance)
  • Demonstrated ability to drive cross-functional security initiatives — partnering with engineering, product, and compliance to embed security into roadmaps, influence architectural decisions, and align stakeholders across boundaries
  • Understanding of authentication and authorization patterns in modern applications: OAuth 2.0, OIDC, SAML, RBAC, and ABAC
  • Deep understanding of secure SDLC, threat modeling, and secure architecture design

Requirements

  • Proven expertise with cloud security concepts and best practices across multi-cloud environments
  • Ability to read and review code to inform threat models and design reviews
  • Familiarity with encryption fundamentals — symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling
  • Familiarity with DevSecOps and CI/CD environments
  • Proficiency in Python, Java, and/or JavaScript for security automation and tooling
  • Container and orchestration security (Kubernetes runtime protection)
  • Software supply chain security and artifact integrity verification
  • Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF)

Preferred

  • Experience with bug bounty programs — triaging findings, driving root-cause analysis, and turning results into systemic security improvements
  • Certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials

Pay

USD 182,000 - 228,000