Staff Product Security Engineer

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.
• Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling.
• 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.

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

Base Compensation Range$184,000—$252,000 USD

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.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.

All official communications will come from an @alpha-sense.com email address.

If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.