Senior Product Security Engineer

🔥 13 hours ago

🇨🇦 Canada – Remote

💵 $159k - $219k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• 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

• 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 • 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 • Nice to have: proficiency in Python, Java, and/or JavaScript • 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: bug bounty program experience • Nice to have: familiarity with SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF • Nice to have: CKS, CISSP, CSSLP, or AI/ML security certifications

🏖️ Benefits

• Performance-based bonus • Equity • Generous benefits program • Career growth opportunities • Collaborative and security-minded engineering culture • Work on cutting-edge security challenges in a fast-growing company • Opportunity to shape and drive product security strategy