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San Francisco, California, United States
Hybrid
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.
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.
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.
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.
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.
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 scripting or programming languages such as 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.
Compensation & Benefits
We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location.
• Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program.
Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.
Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
The 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 as the company scales.
This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
