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Higgsfield AI

Member of Technical Staff – Product Security

Higgsfield AI

. Conduct hands-on penetration testing of new products and features, including web applications, APIs, and administrative interfaces .

Posted 10/23/2026full-timeSan Francisco • California • United StatesLead💰 $200,000 - $300,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in product security and application security, with a strong focus on penetration testing, vulnerability research, and threat modeling. Proficient in translating security findings into scalable engineering controls and integrating security practices into development workflows.

Highest-signal resume keywords
Penetration TestingApplication SecurityThreat ModelingVulnerability ResearchPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Web Application SecurityAPI SecurityMulti-Tenant IsolationCode AnalysisSecurity Standards DevelopmentAutomated Security ChecksCloud SecurityContainer SecurityRoot Cause AnalysisSecure Design Reviews
Soft Skills
Independent Problem-SolvingStrong Technical JudgmentProactive Risk IdentificationCollaboration with Engineers
Tools & Technologies
CI/CD WorkflowsSecurity ToolingGenerative AI ProductsRole-Based Access ControlsSSO
Industry Keywords
Security FlawsAuthorizationAuthenticationVulnerability ExploitationSecurity Practices

Tech Stack

Tools & technologies
CloudJavaScriptPythonTypeScriptGo

About the role

Key responsibilities & impact
  • Conduct hands-on penetration testing of new products and features, including web applications, APIs, and administrative interfaces
  • Identify security risks across agentic systems, MCP servers, code-generating agents, and AI-powered applications
  • Map attack surfaces and uncover authorization, authentication, and multi-tenant isolation vulnerabilities
  • Develop proof-of-concept exploits, validate findings, and retest remediation efforts
  • Partner with Engineering early in product development to identify and prevent security flaws before release
  • Conduct threat modeling, architecture reviews, and security-focused code reviews
  • Analyze complex codebases to trace vulnerabilities to their root cause and recommend effective fixes
  • Assess security risks across generative AI products, user-deployed applications, SSO, and role-based access controls
  • Translate recurring vulnerabilities into secure development standards, reusable controls, and automated security checks
  • Build security tooling and integrate preventive controls into development and CI/CD workflows
  • Identify systemic weaknesses and implement solutions that prevent entire classes of vulnerabilities
  • Apply cloud, container, and infrastructure security knowledge across the application stack
  • Own security findings from discovery through remediation, working directly with engineers on lasting fixes
  • Prioritize vulnerabilities based on exploitability, business impact, and real-world risk
  • Establish practical security standards for rapid product development
  • Help define security practices for emerging AI technologies and new product architectures

Requirements

What you’ll need
  • 5+ years of hands-on experience in product security, application security, penetration testing, or vulnerability research
  • Proven track record of independently discovering and exploiting real vulnerabilities through application security work, bug bounty programs, or security research
  • Deep understanding of web application and API security, including authentication, authorization, and multi-tenant isolation
  • Strong ability to read and analyze modern codebases, identify root causes, and collaborate with engineers on remediation
  • Experience conducting threat modeling, secure design reviews, and hands-on penetration testing
  • Proficiency in Python, JavaScript, TypeScript, or Go
  • Familiarity with cloud infrastructure, containers, and modern application architectures
  • Ability to translate security findings into scalable engineering controls and automated checks
  • Strong technical judgment, independent problem-solving skills, and a proactive approach to identifying security risks
  • Must be based in the San Francisco Bay Area or willing to relocate
  • Able to work in the San Francisco office at least 3 days per week
  • Expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone

Benefits

Comp & perks
  • Bonus eligible; may participate in the Company's discretionary annual bonus program
  • Eligible to participate in the company’s stock option program
  • Medical, dental, and vision insurance
  • Competitive 401(k) retirement plan with company matching
  • Additional benefits and perks
  • Opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team
  • Significant ownership, direct impact, and opportunities for professional growth
  • Hybrid work arrangement with remote work on remaining days