Role Overview
AlphaSense is seeking a Senior Product Security Engineer to lead the design and implementation of secure, trustworthy products across an AI-native platform. This remote position within the United States suits an experienced security professional with a strong background in application security, cloud environments, and emerging AI technologies.
Key Responsibilities
Architect and enforce robust security controls for artificial intelligence and machine learning systems, covering model training, inference environments, data pipelines, and agentic workflows.
Identify and actively mitigate specific AI attack vectors such as prompt injection, data poisoning, model theft, and model inversion.
Implement comprehensive model provenance, integrity, and auditability controls to ensure responsible and secure AI operations that align with frameworks like the NIST AI RMF and EU AI Act.
Embed security, privacy, and compliance directly into the software and AI development lifecycles by partnering closely with product, engineering, and architecture teams.
Lead thorough threat modeling, secure design reviews, and risk assessments across existing application and cloud ecosystems.
Produce customer-facing security assurance materials, including security questionnaire responses and whitepapers, to successfully unblock enterprise deals.
Mentor development teams on secure coding principles, AI risk management, and secure design practices to foster a security-first culture.
Requirements
Possess 5 to 7 plus years of professional experience in product, application, or cloud security engineering.
Bring a deep understanding of secure software development lifecycles, threat modeling methodologies, and secure architecture design principles.
Demonstrate the ability to read and review code effectively to inform accurate threat models and design reviews.
Hold practical experience securing AI and machine learning pipelines, data workflows, and model-serving infrastructure.
Exhibit working knowledge of AI and large language model security concepts, including prompt injection, model integrity, and data provenance.
Display proven expertise regarding cloud security concepts and multi-cloud environment best practices, alongside familiarity with DevSecOps and CI/CD pipelines.
Understand encryption fundamentals, modern authentication, and authorization patterns such as OAuth 2.0, OIDC, SAML, RBAC, and ABAC.
Nice to Have
Proficiency in Python, Java, or JavaScript for building security automation tools.
Experience with container and orchestration security, particularly Kubernetes runtime protection.
Familiarity with software supply chain security and artifact integrity verification.
Background handling bug bounty programs, including triaging findings and driving systemic security improvements.
Knowledge of governance and compliance frameworks like SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF.
Professional certifications such as CKS, CISSP, CSSLP, or dedicated AI and machine learning security credentials.
Skills and Tools
Python
Kubernetes
JavaScript
Java
LLM security
Secure SDLC
Threat modeling
DevSecOps
Multi-cloud security
Cryptography
Salary and Benefits
Base compensation range of $182,000 to $228,000 USD.
Performance-based bonus opportunities.
Equity offerings.
Generous and comprehensive benefits program.
About the Company
AlphaSense delivers advanced market intelligence and search capabilities built on proven AI, helping sophisticated global companies remove uncertainty from decision-making. Trusted by over 6,000 enterprise customers, the platform aggregates extensive public and private content sets. Founded in 2011, AlphaSense operates globally with thousands of employees across the United States, United Kingdom, Finland, India, Singapore, Canada, and Ireland.
How to Apply
Candidates should review details and apply directly on the official AlphaSense careers page.
