Senior Product Security Engineer

AlphaSense

. Lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense’s AI-native platform .

Posted 9/23/2026full-timeRemote • IrelandSenior💰 €103,000 - €141,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in secure software development lifecycle (SDLC), threat modeling, and secure architecture design, with a strong focus on AI/ML security and compliance with frameworks such as NIST AI RMF and the EU AI Act. Proven ability to lead cross-functional security initiatives and mentor teams on secure coding practices and AI risk management.

Highest-signal resume keywords

Secure Software Development Lifecycle (SDLC)AI/ML SecurityThreat ModelingCloud SecurityCross-Functional Security Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Secure Architecture DesignAI/ML Pipeline SecurityCode Review for Threat ModelsSecurity AutomationEncryption FundamentalsOAuth 2.0PythonJavaJavaScriptContainer Security

Soft Skills

MentoringAdvocacyCollaboration

Tools & Technologies

KubernetesCI/CDDevSecOpsSecurity Automation Tools

Certifications & Qualifications

CKSCISSPCSSLP

Industry Keywords

NIST AI RMFEU AI ActSOC 2ISO 27001NIST 800-53

Tech Stack

Tools & technologies

CloudJavaJavaScriptKubernetesPythonSDLC

About the role

Key responsibilities & impact

Lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense’s AI-native platform
Work with architects, engineering, and product teams to embed security by design throughout the software development lifecycle
Architect and enforce security controls for AI/ML systems, including model training, data pipelines, inference environments, and agentic workflows
Identify and mitigate AI-specific attack vectors such as prompt injection, data poisoning, model inversion, and model theft
Implement model provenance, integrity, and auditability controls
Align AI security with governance and compliance teams against frameworks such as NIST AI RMF and the EU AI Act
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 integrated into development workflows
Produce customer-facing security assurance, including questionnaire responses, security whitepapers, and trust collateral
Represent product security in customer, cross-functional, and leadership discussions
Mentor teams on secure coding, AI risk management, and secure design
Promote a security-first culture through advocacy, documentation, and training

Requirements

What you’ll need

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, including prompt injection, model integrity, and 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 OAuth 2.0, OIDC, SAML, RBAC, and ABAC
Ability to drive cross-functional security initiatives with engineering, product, and compliance teams
Proficiency in Python, Java, and/or JavaScript for security automation and tooling (nice to have)
Container and orchestration security, including Kubernetes runtime protection (nice to have)
Software supply chain security and artifact integrity verification (nice to have)
Experience with bug bounty programs (nice to have)
Familiarity with SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF (nice to have)
Certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials (nice to have)

Benefits

Comp & perks

Performance-based bonus
Equity
Generous benefits program
Competitive compensation
Career growth opportunities
Equal-opportunity employment
Reasonable accommodation for qualified employees with protected disabilities