обновлено 10 дней назад
Sr. Software Engineer (AI Agent Security)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Software Engineer (AI Agent Security): Building enterprise-ready features and GenAI and Copilot security solutions for a platform that governs AI agents, with an accent on large-scale cloud services and enterprise integrations. Focus on designing scalable systems, applying AI coding agents, and solving complex security and enterprise-readiness challenges across cross-functional teams.
Location: NYC, United States; hybrid schedule with up to 3 days per week in the office
Salary: $180,000–$250,000 base annually, depending on experience, skills, and location; equity and performance-based incentives may also be available.
Company
provides an AI agent security platform for enterprise visibility, governance, detection, prevention, and response across SaaS, internal platforms, and end-user devices.
What you will do
- Take ownership of existing features and make them enterprise-ready.
- Build GenAI and Copilot security solutions for enterprise customers.
- Develop and scale platform capabilities, processes, and customer success.
- Collaborate with product, engineering, sales, and customer-facing teams.
Requirements
- 5+ years of software engineering experience with a track record of building systems, processes, and relationships.
- Expertise in modern programming languages such as Python, C#, Java, Go, TypeScript, or JavaScript.
- Experience developing large-scale services on AWS, Azure, or GCP.
- Advanced proficiency with AI coding agents, including skills and rules.
- Experience in fast-moving, high-growth, or venture-backed startup environments.
- Strong communication, collaboration, ownership, and accountability skills.
Culture & Benefits
- Ownership-driven environment with transparent, cross-functional collaboration.
- High technical standards and startup-speed execution.
- Work on enterprise AI agent security at scale.
- Potential eligibility for equity and performance-based incentives.
Hiring process
- Recruiter screen followed by a problem-solving assessment.
- Hiring manager interview focused on technical background, system design, and the assessment.
- Interviews with the Director of Engineering, VP of R&D, and People Team.
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