Senior AI Security Engineer – Product & Cloud

Alphasense

United States

On-site

USD 182,000 - 228,000

Full time

3 days ago
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Benefits offered by this job

Equity
Performance-based bonus
Generous benefits program
Career growth opportunities

Job summary

AlphaSense is seeking a Senior Product Security Engineer to lead secure, scalable, and trustworthy products across its AI-native platform. You’ll partner with architects, engineering, and product teams to bake security by design into the software development lifecycle.

Focus areas include AI security enablement, secure architecture, threat modeling, customer-facing assurance, and leadership to foster a security-first culture.

Qualifications

  • 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.

Responsibilities

  • AI Security & Enablement: architect security controls for AI/ML systems and data pipelines.
  • Secure Architecture & Development Lifecycle: embed security across the SDLC with cross-functional teams.
  • Threat Modeling & Security Review: lead threat modeling and secure design reviews.
  • Customer-Facing Security Assurance: produce security collateral to enable enterprise deals.
  • Leadership: mentor teams and promote a security-first culture.

Skills

AI security
Threat modeling
Secure architecture
Cloud security
DevSecOps
Secure SDLC
Python/Java/JS tooling
Kubernetes security
Encryption fundamentals
OAuth 2.0 / OIDC / SAML
Cross-functional collaboration

Tools

Kubernetes
CI/CD pipelines
Cloud platforms

Job description

AlphaSense is seeking a Senior Product Security Engineer to lead secure, scalable, and trustworthy products across its AI-native platform. You’ll partner with architects, engineering, and product teams to bake security by design into the software development lifecycle.

Focus areas include AI security enablement, secure architecture, threat modeling, customer-facing assurance, and leadership to foster a security-first culture.

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