Senior Product Security Engineer
AlphaSense2 months ago
Remote, IrelandSenior
Responsibilities
- Architect and enforce security controls for AI/ML systems, including model training, data pipelines, inference environments, and agentic workflows.
- Identify and mitigate AI-specific threats such as prompt injection, data poisoning, model inversion, and model theft.
- Implement model provenance, integrity, and auditability controls and align AI security with governance and compliance teams.
- Embed security, privacy, and compliance throughout the software and AI development lifecycle.
- Define secure development standards, guidance, and best practices across application and cloud ecosystems.
- Lead threat modeling, secure design reviews, and risk assessments, and build security automation integrated into development workflows.
- Produce customer-facing security questionnaires, security whitepapers, and trust collateral.
- Represent product security in customer, cross-functional, and leadership discussions.
- Mentor teams and promote a security-first culture through advocacy, documentation, and training.
Requirements
- 5–7+ years of experience in product, application, or cloud security engineering.
- Deep understanding of secure SDLC, threat modeling, and secure architecture design.
- Ability to read and review code for threat models and design reviews.
- Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure, including AI/LLM security concepts.
- Proven expertise with cloud security across multi-cloud environments.
- Familiarity with DevSecOps and CI/CD environments.
- Knowledge of symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling.
- Understanding of OAuth 2.0, OIDC, SAML, RBAC, and ABAC authentication and authorization patterns.
- Ability to drive cross-functional security initiatives and influence engineering, product, compliance, and architectural decisions.
- Preferred: Python, Java, and/or JavaScript proficiency for security automation and tooling.
- Preferred: container and orchestration security, including Kubernetes runtime protection.
- Preferred: software supply chain security, artifact integrity verification, bug bounty programs, and relevant compliance frameworks.
- Preferred: familiarity with SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF.
- Preferred: CKS, CISSP, CSSLP, or AI/ML security credentials.
Benefits
- Competitive compensation, performance-based bonus, equity, generous benefits, and career growth opportunities.
- Opportunity to shape product security strategy and work on advanced security challenges in a collaborative, security-minded engineering culture.
Tech Stack
Categories
About AlphaSense
AlphaSense builds an AI-powered market intelligence and search platform used by investment, corporate strategy, and research teams to find insights across public and private content (equity research, filings, transcripts, expert calls, news, and internal documents). It sells enterprise subscriptions to its SaaS platform and content sets. Founded in 2011 and headquartered in New York, the company is privately held and acquired Tegus in 2024; its customers include a majority of the S&P 500.