2 часа назад
Senior Application Security Engineer (AI)
190 100 - 237 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Application Security Engineer (AI): Strengthening the secure software development lifecycle and reducing application risk across SaaS products, platform systems, and AI-powered features with an accent on threat modeling, deep code review, vulnerability remediation, and AppSec automation. Focus on validating exploit-resistant fixes, securing AI APIs and workflows, and building tooling that improves security signal quality and developer enablement.
Location: Remote, United States
Annual salary: $190,100–$237,600 for Tier 2 US locations; $218,600–$273,200 for San Francisco, New York City, and Seattle.
Company
provides a SaaS go-to-market platform with verified B2B contact data and sales engagement tools used by companies worldwide.
What you will do
- Own and continuously improve the secure software development lifecycle across product, platform, and AI-powered features.
- Perform application security reviews, threat modeling, deep code analysis, and security architecture guidance before product launches.
- Manage vulnerabilities from bug bounty programs, penetration tests, internal reviews, and automated tooling through validation, prioritization, remediation, and verification.
- Conduct hands-on offensive testing, exploit development, bypass testing, and red-team-style validation of applications and fixes.
- Configure AppSec tooling, build automation, and use AI-assisted workflows to improve coverage, reduce manual effort, and increase signal quality.
- Enable engineering teams through secure coding guidance, documentation, training, metrics, and collaboration with Product, Platform, Data, Legal, and Security.
Requirements
- 5+ years of software engineering or application security experience with meaningful hands-on AppSec experience in modern SaaS environments.
- Ability to read, write, and ship production code; Ruby experience is highly valuable, with Python or similar scripting experience useful.
- Strong Linux and cloud fundamentals, ideally in GCP-backed environments.
- Deep knowledge of secure design, authentication and authorization, vulnerability management, developer security tooling, and common application security risks.
- Experience with deep code review, penetration testing, exploit-oriented validation, and durable vulnerability remediation.
- Experience securing AI-powered systems, including AI API exposure, prompt and response handling, data protection, misuse scenarios, and monitoring.
Nice to have
- Experience supporting security reviews for AI-native products, internal agents, or AI-assisted engineering workflows.
- Experience improving secure-by-design practices and AppSec observability in a fast-moving engineering organization.
- Security training, developer enablement, or security champions experience.
- Relevant security certifications.
Culture & Benefits
- AI-native environment focused on continuous improvement, automation, and productivity.
- Equity and company bonus opportunities.
- 401(k), medical, dental, vision, FSA/HSA, life and disability insurance.
- At least 10 paid holidays, flexible PTO, parental leave, employee assistance, and wellbeing benefits.
- Global travel coverage and support for professional growth.
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