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Senior Product Security Engineer

AlphaSenseRemote - CanadaSecurity / IT
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
23 Sept 2026
Status
Open · checked 7d ago

About this role

This remote role in Canada for AlphaSense is a Senior Product Security Engineer position focused on leading the design and implementation of secure, trustworthy products across an AI-native platform. It is an ideal fit for experienced security professionals who want to shape product security strategy while working closely with engineering and architecture teams.

Role Overview

The Senior Product Security Engineer will define standards, automation, and frameworks that enable secure, intelligent products at scale. This position sits at the intersection of AI and machine learning security, secure architecture, threat modeling, and customer-facing assurance. The professional will partner with architects, product managers, and software engineers to embed security by design throughout the development lifecycle.

Key Responsibilities

Architect and enforce security controls for AI and machine learning 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 while aligning AI security with governance frameworks like the NIST AI RMF and the EU AI Act.
Embed privacy, compliance, and security by design throughout the software and AI development lifecycle across application and cloud ecosystems.
Lead threat modeling, secure design reviews, and risk assessments, building security automation that integrates directly into developer workflows.
Produce customer-facing security assurance materials, such as questionnaire responses, whitepapers, and trust collateral to support enterprise deals.
Mentor engineering teams on secure coding, AI risk management, and secure design to promote a security-first culture.

Requirements

Possess 5 to 7+ years of experience in product, application, or cloud security engineering.
Bring a deep understanding of secure software development lifecycles, threat modeling, and secure architecture design.
Demonstrate the ability to read and review code to effectively inform threat models and design reviews.
Offer experience in securing artificial intelligence and machine learning pipelines, data workflows, and model-serving infrastructure.
Maintain a working knowledge of AI and large language model security concepts like prompt injection, model integrity, and provenance.
Exhibit proven expertise with cloud security concepts and best practices across multi-cloud environments, DevSecOps, and continuous integration pipelines.
Understand encryption fundamentals, including symmetric and asymmetric cryptography, TLS, key management, and secrets handling.
Show familiarity with modern authentication and authorization patterns such as OAuth 2.0, OpenID Connect, SAML, role-based access control, and attribute-based access control.
Demonstrate the ability to drive cross-functional security initiatives and align stakeholders across boundaries.

Nice to Have

Proficiency in Python, Java, or JavaScript for security automation and tooling.
Container and orchestration security experience, specifically with Kubernetes runtime protection.
Familiarity with software supply chain security and artifact integrity verification.
Experience with bug bounty programs, triaging findings, and turning results into systemic improvements.
Knowledge of compliance and governance frameworks such as SOC 2, ISO 27001, NIST 800-53, and the NIST AI RMF.
Professional certifications like CKS, CISSP, CSSLP, or specialized AI and machine learning security credentials.

Skills and Tools

Python
Kubernetes
JavaScript
Java
LLM security frameworks
OAuth 2.0 and OIDC
CI/CD and DevSecOps environments

Salary and Benefits

Base compensation range of $159,000 to $219,000 CAD, determined by candidate experience and expertise.
Opportunity to receive a performance-based bonus and equity.
Access to a generous employee benefits program and career growth opportunities.

About the Company

AlphaSense provides market intelligence and search built on proven AI to help sophisticated companies remove uncertainty from decision-making. The platform covers a universe of public and private content including equity research, company filings, event transcripts, expert calls, and news, serving over 6,000 enterprise customers. Founded in 2011, the company is headquartered in New York City with a global workforce spanning the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

How to Apply

To apply for this position, please visit the official AlphaSense careers page to submit your application securely.

Skills and tech stack

PythonKubernetesJavaScriptJavaLLM

Questions candidates ask

What is the location requirement for this role?

This position is remote based out of Canada.

What is the salary range for the Senior Product Security Engineer position?

The base compensation range is $159,000 to $219,000 CAD, with final offers depending on experience and expertise alongside potential performance-based bonuses, equity, and benefits.

What programming languages are helpful for this role?

Proficiency in Python, Java, and JavaScript is listed as a nice-to-have skill for security automation and tooling.

What specific AI security challenges will this engineer face?

The role involves mitigating AI-specific attack vectors such as prompt injection, data poisoning, model inversion, and model theft across AI training, data pipelines, and inference environments.

How should I apply for this job?

Candidates should submit their application directly through the official AlphaSense careers page.

Ready to apply?

The application is on the official AlphaSense careers page.

Apply on company site