Note: The job is a remote job and is open to candidates in USA. AlphaSense is a leading market intelligence company that empowers professionals to make smarter decisions through AI-driven insights. The Staff Product Security Engineer will lead the design and implementation of secure products, collaborating with various teams to embed security practices throughout the product lifecycle.
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
Skills
- 7+ years of experience in product or application security engineering
- Deep understanding of secure SDLC, threat modeling, and secure architecture design
- Proven expertise with AWS cloud security concepts and best practices
- Strong experience with container security, orchestration, and runtime protection
- Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling
- Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure
- Familiarity with DevSecOps and continuous integration/deployment environments
- Familiarity with encryption fundamentals, including symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling best practices
- Demonstrated ability to drive cross-functional security initiatives, partnering with engineering, product, and legal teams to embed security requirements into roadmaps, influence architectural decisions, and align stakeholders across organizational boundaries
- Experience with GCP or Azure cloud platforms
- Knowledge of AI and LLM security
- Experience with software supply chain security and artifact integrity verification
- Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF)
- Understanding of authentication and authorization patterns in modern applications, including OAuth 2.0, OIDC, SAML, RBAC, and ABAC
- Certifications such as CKS (Certified Kubernetes Security Specialist), CISSP, CSSLP, or AI/ML-focused security credentials
Benefits
- You may also be offered a performance-based bonus, equity, and a generous benefits program.
- Competitive compensation, benefits, and career growth opportunities.
Company Overview
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