Senior Product Security Engineer

Posted Sep 23

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Oversee the design and execution of secure, scalable, and reliable products within AlphaSense’s AI-native platform.

• Collaborate with architects, engineering, and product teams to integrate security by design throughout the software development lifecycle.

• Design and enforce security measures for AI/ML systems, encompassing model training, data pipelines, inference environments, and agentic workflows.

• Identify and address AI-specific attack vectors such as prompt injection, data poisoning, model inversion, and model theft.

• Implement controls for model provenance, integrity, and auditability.

• Align AI security initiatives with governance and compliance teams according to frameworks like NIST AI RMF and the EU AI Act.

• Establish and uphold secure development standards, guidelines, and best practices.

• Lead threat modeling, secure design evaluations, and risk assessments.

• Develop and sustain security automation and governance integrated into development workflows.

• Generate customer-facing security assurance materials, including questionnaire responses, security whitepapers, and trust collateral.

• Represent product security in discussions with customers, cross-functional teams, and leadership.

• Mentor teams in secure coding practices, AI risk management, and secure design principles.

• Foster a security-first culture through advocacy, documentation, and training.


⛳️ Requirements

• 5–7+ years of experience in product, application, or cloud security engineering.

• Extensive knowledge of secure SDLC, threat modeling, and secure architecture design.

• Capability to review and analyze code for informing threat models and design assessments.

• Experience in securing AI/ML pipelines, data workflows, and model-serving infrastructures.

• Familiarity with AI/LLM security, including prompt injection, model integrity, and provenance.

• Demonstrated expertise in cloud security concepts and best practices across multi-cloud environments.

• Understanding of DevSecOps and CI/CD frameworks.

• Knowledge of encryption fundamentals, including symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets management.

• Understanding of OAuth 2.0, OIDC, SAML, RBAC, and ABAC.

• Ability to lead cross-functional security initiatives alongside engineering, product, and compliance teams.

• Proficiency in Python, Java, and/or JavaScript for security automation and tooling (preferred).

• Knowledge of container and orchestration security, including Kubernetes runtime protection (preferred).

• Experience with software supply chain security and artifact integrity verification (preferred).

• Familiarity with bug bounty programs (preferred).

• Knowledge of SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF (preferred).

• Relevant certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials (preferred).


🏝️ Benefits

• Performance-based bonus.

• Equity options.

• Comprehensive benefits program.

• Competitive salary.

• Opportunities for career advancement.

• Commitment to equal opportunity employment.

• Reasonable accommodations for qualified employees with protected disabilities.

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