Staff Product Security Engineer Remote - Canada

AlphaSense, Inc.; Canada; Remote; CAD 134,000 - 184,000; Full time

Benefits offered by this job

Competitive compensation

Generous benefits

Career growth opportunities

Job summary

AlphaSense, Inc. is seeking a Staff Product Security Engineer to lead the design and implementation of secure, scalable products spanning AI, data, and cloud-native systems.

You’ll work with engineering, data science, and infrastructure teams to embed security by design throughout the product lifecycle. You’ll focus on AI/ML security, secure development practices, and container/cloud-native protection, defining architecture, automation, and frameworks for secure, intelligent products at scale,

Qualifications

• 7+ years of experience in product or application security engineering.
• Deep understanding of secure SDLC, threat modeling, and secure architecture design.
• Proven expertise with AWS cloud security concepts and best practices.
• Strong experience with container security, orchestration, and runtime protection.
• Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure.
• Familiarity with DevSecOps and continuous integration/deployment environments.
• Familiarity with encryption fundamentals, including TLS/mTLS, key management, and secrets handling best practices.
• Demonstrated ability to drive cross-functional security initiatives, partnering with engineering, product, and legal teams to embed security requirements into roadmaps, influence architectural decisions, and align stakeholders across organizational boundaries.

Responsibilities

• Embed robust security practices throughout the software and AI development lifecycle (SDLC).
• Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services.
• Partner with engineering and product teams to ensure security, privacy, and compliance by design.
• Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows.
• Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments.
• Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft.
• Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act.
• Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations.
• Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management.
• Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction.
• Build internal frameworks for continuous assurance and real-time vulnerability management.
• Define and maintain reference security architectures for microservices, APIs, and AI-powered systems deployed in the cloud.
• Mentor teams on secure coding, containerization best practices, and AI risk management.
• Promote a security-first culture through advocacy, documentation, and training.
• Represent product security in cross-functional initiatives and leadership discussions.

Skills

Security engineering

Threat modeling

Secure SDLC

AWS security

Container security

AI/ML security

DevSecOps

Encryption fundamentals

Cross-functional collaboration

Compliance awareness

Job description

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

Location: Remote, USA

About the Role

We’re looking for a Staff Product Security Engineer to lead the design and implementation of secure, scalable, and trustworthy products spanning AI, data, and cloud-native systems.

You’ll work closely with engineering, data science, and infrastructure teams to embed security by design throughout the product lifecycle.

This role sits at the intersection of AI/ML security, secure product development, and container/cloud-native protection, helping define the architecture, automation, and frameworks that enable secure, intelligent products at scale.

What You’ll Do

• Embed robust security practices throughout the software and AI development lifecycle (SDLC).
• Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services.
• Partner with engineering and product teams to ensure security, privacy, and compliance by design.
• Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows.
• Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments.
• Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft.
• Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act.
• Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations.
• Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management.
• Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction.
• Build internal frameworks for continuous assurance and real-time vulnerability management.
• Define and maintain reference security architectures for microservices, APIs, and AI-powered systems deployed in the cloud.
• Mentor teams on secure coding, containerization best practices, and AI risk management.
• Promote a security-first culture through advocacy, documentation, and training.
• Represent product security in cross-functional initiatives and leadership discussions.

What We Are Looking For:

Required:

• 7+ years of experience in product or application security engineering.
• Deep understanding of secure SDLC, threat modeling, and secure architecture design.
• Proven expertise with AWS cloud security concepts and best practices.
• Strong experience with container security, orchestration, and runtime protection.
• Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure.
• Familiarity with DevSecOps and continuous integration/deployment environments.
• Familiarity with encryption fundamentals, including symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling best practices.
• Demonstrated ability to drive cross-functional security initiatives, partnering with engineering, product, and legal teams to embed security requirements into roadmaps, influence architectural decisions, and align stakeholders across organizational boundaries.

Nice to Have:

• Experience with GCP or Azure cloud platforms.
• Knowledge of AI and LLM security.
• Experience with software supply chain security and artifact integrity verification.
• Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF).
• Understanding of authentication and authorization patterns in modern applications, including OAuth 2.0, OIDC, SAML, RBAC, and ABAC.
• Certifications such as CKS (Certified Kubernetes Security Specialist), CISSP, CSSLP, or AI/ML-focused security credentials.

Why Join Us?

• Work on cutting-edge security challenges in a fast-growing company.
• Opportunity to shape and drive product security strategy.
• Collaborative and security-minded engineering culture.
• Competitive compensation, benefits, and career growth opportunities.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$134,000 - $184,000 CAD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.