Senior Product Security Engineer

The role

You will lead the design and implementation of secure, scalable, and trustworthy products across an AI-native platform. You will work with architects, engineering, and product teams to embed security by design throughout the software development lifecycle.

What you will do

• Architect and enforce security controls for AI/ML systems
• Identify and mitigate AI-specific attack vectors
• Implement model provenance, integrity, and auditability controls
• Align AI security with governance and compliance teams
• Embed security throughout the software and AI development lifecycle
• Ensure security, privacy, and compliance by design
• Define and maintain secure development standards, guidance, and best practices
• Lead threat modeling, secure design reviews, and risk assessments
• Build and maintain security automation and governance
• Produce customer-facing security assurance and represent product security in discussions

Required qualifications

• 5–7+ years in product, application, or cloud security engineering
• Deep understanding of secure SDLC, threat modeling, and secure architecture design
• Ability to read and review code to inform threat models and design reviews
• Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure
• Working knowledge of AI/LLM security (prompt injection, model integrity, provenance)
• Proven expertise with cloud security concepts and best practices across multi-cloud environments
• Familiarity with DevSecOps and CI/CD environments
• Familiarity with encryption fundamentals including symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling
• Understanding of authentication and authorization patterns: OAuth 2.0, OIDC, SAML, RBAC, and ABAB
• Demonstrated ability to drive cross-functional security initiatives

Nice to have

• 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
• Experience with bug bounty programs
• Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF)
• Certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials

Benefits

• Competitive compensation
• Benefits
• Career growth opportunities
• Performance-based bonus
• Equity

About the company

AlphaSense is the AI platform redefining market intelligence and workflow orchestration. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents.