Apollo.io
Staff Application Security Engineer
$225K–$324K
Remote, United States +1 · Remote · Staff · Full-time · Posted Oct 16, 2026
- Location
- Remote, United States
United States - Experience
- Typically 10+ years in software engineering or application security.
- Visa sponsorship
- Applicants outside the US may request the annual salary range for their location during the interview process.
About the job
Leads Apollo’s application security strategy and hands-on security work across product, platform, and AI-powered systems, while establishing practices and tools adopted across engineering teams.
What you'll do
- Set and advance AppSec strategy, standards, and cross-team initiatives; influence engineering roadmaps and mentor security engineers and champions.
- Lead architecture reviews, threat modeling, vulnerability investigation, exploit development, and risk-based remediation for complex systems.
- Apply AI and automation to AppSec workflows and define security approaches for AI systems and agent features.
What they ask for
- Track record of leading AppSec strategy across multiple engineering teams with measurable results; typically backed by 10+ years in software engineering or application security.
- Expertise in code review, penetration testing, and exploit development, plus strong software development skills and ability to ship production code.
- Deep experience in secure architecture, authentication and authorization, and security building blocks adopted by other teams.
- Hands-on experience securing AI-powered systems or agent features.
Nice to have
- Ruby and Ruby on Rails experience; Python is a plus. Strong Linux and cloud fundamentals, ideally GCP and Kubernetes.
- Experience with AI-native product security, security champions or developer enablement; public security work or OSCP/OSWE certifications.
Pay
$259,200 — $324,100 USD (total cash compensation); $225,400 — $281,800 USD (total cash compensation)
Tools
React, Ruby, Ruby on Rails, Python, MongoDB, Elasticsearch, Kubernetes, GCP
AI focus
Use AI and agents for code review, threat modeling, triage, and remediation; secure AI systems and agent features, including their APIs, prompts, tool permissions, and data-exfiltration paths.
Model-written summary · the original posting is authoritative