Senior Product Security Engineer, AlphaSense

• 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, with 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 — symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling
• Understanding of authentication and authorization patterns in modern applications: OAuth 2.0, OIDC, SAML, RBAC, and ABAC
• 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

Desirable

• We're looking for a Senior Product Security Engineer to lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense's 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 sits at the intersection of AI/ML security, secure architecture, threat modeling, and customer-facing assurance — defining the standards, automation, and frameworks that enable secure, intelligent products at scale
• AI Security & Enablement (30%)
• Architect and enforce security controls for AI/ML systems — model training, data pipelines, inference environments, and agentic workflows
• Identify and mitigate AI-specific attack vectors: prompt injection, data poisoning, model inversion, model theft
• Implement model provenance, integrity, and auditability controls for responsible, secure AI operations
• Align AI security with governance and compliance teams against frameworks like NIST AI RMF and the EU AI Act
• Secure Architecture & Development Lifecycle (30%)
• Embed security throughout the software and AI development lifecycle, partnering with architects, engineering, and product across AlphaSense's application and cloud ecosystems
• Ensure security, privacy, and compliance by design
• Define and maintain secure development standards, guidance, and best practices
• Threat Modeling & Security Review (20%)
• Lead threat modeling, secure design reviews, and risk assessments across the software development lifecycle
• Build and maintain security automation and governance that integrates into development workflows
• Customer-Facing Security Assurance (10%)
• Produce customer-facing security assurance — security questionnaire responses, security whitepapers, and trust collateral — that unblocks enterprise deals
• Represent product security in customer, cross-functional, and leadership discussions
• Leadership (10%)
• Mentor teams on secure coding, AI risk management, and secure design
• Promote a security-first culture through advocacy, documentation, and training