Member of Technical Staff, Product Security at Higgsfield AI in San Francisco, CA

Job description

Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a hands-on Member of Technical Staff, Product Security to identify and eliminate security vulnerabilities across our rapidly evolving AI products and platforms. As we build agentic systems, code-generating agents, generative AI models, and enterprise applications, you'll play a critical role in securing new features before they reach production. Working closely with Product and Engineering, you'll conduct offensive security testing, identify architectural weaknesses, and drive fixes to their root cause. You'll also turn recurring vulnerabilities into scalable security standards and automated controls. We're looking for someone with a proven track record of finding real vulnerabilities in production systems, strong technical judgment, and the ability to work directly with engineers to build more secure products. What You'll Do Offensive Security & Vulnerability Research • 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. • Independently map attack surfaces and uncover authorization, authentication, and multi-tenant isolation vulnerabilities. • Develop proof-of-concept exploits, validate findings, and retest remediation efforts. Secure Design & Application Security • 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, and enterprise features such as SSO and role-based access controls. Security Engineering & Automation • 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 to investigate vulnerabilities across the application stack. Technical Ownership & Collaboration • Own security findings from discovery through remediation, working directly with engineers to implement lasting fixes. • Prioritize vulnerabilities based on exploitability, business impact, and real-world risk. • Establish practical security standards that enable rapid product development without compromising security. • Help define security practices for emerging AI technologies and new product architectures. What We're Looking For • 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