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AlphaSense

Senior Product Security Engineer

AlphaSense

. Lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense’s AI-native platform .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $182,000 - $228,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in secure software development lifecycle (SDLC), threat modeling, and secure architecture design, with a strong focus on AI/ML security and compliance frameworks. Proven ability to lead cross-functional security initiatives and mentor teams on secure coding practices.

Highest-signal resume keywords
Product Security EngineeringAI/ML SecuritySecure SDLCThreat ModelingCloud Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Secure SDLCThreat ModelingAI/ML SecuritySecure Architecture DesignData Workflows SecurityModel IntegrityEncryption FundamentalsCross-Functional Security InitiativesCode ReviewSecurity Automation
Soft Skills
MentoringAdvocacyCollaborationCommunication
Tools & Technologies
CI/CDDevSecOpsKubernetesMulti-Cloud EnvironmentsSecurity Automation Tools
Certifications & Qualifications
CISSPCKSCSSLP
Industry Keywords
NIST AI RMFEU AI ActSOC 2ISO 27001NIST 800-53

Tech Stack

Tools & technologies
CloudJavaJavaScriptKubernetesPythonSDLC

About the role

Key responsibilities & impact
  • 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
  • Ensure security, privacy, and compliance by design across application and cloud ecosystems
  • 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 materials, including security 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

What you’ll need
  • 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 credentials

Benefits

Comp & perks
  • Performance-based bonus
  • Equity
  • Generous benefits program
  • Career growth opportunities
  • Reasonable accommodation for qualified employees with protected disabilities