Tooling, automation, and AI (AI-native by default)

• Set the standard for AI-augmented AppSec in the department. Use AI and agents for code review, threat modeling, triage, and remediation, and build automation that teams outside Security adopt, with measured gains in speed, coverage, and signal quality.
• Define how Apollo secures its AI systems and agent features, including input and output handling, AI-exposed APIs, prompt and response guardrails, tool permissions, and data-exfiltration paths.

What Good Looks Like (drafted from your mission and success sections)

• Owns AppSec strategy across a multi-year horizon and gets it committed in other teams’ roadmaps.
• Solves ambiguous, no-playbook problems and defines the approach for others to follow.
• Makes hard risk calls under ambiguity and aligns technical and non-technical leaders without formal authority.
• Builds guardrails, standards, and people so AppSec scales beyond any one person.

Required Skills & Experience

• A track record of leading AppSec strategy that changed how several engineering teams build, with measurable results, typically backed by 10+ years in software engineering or application security.
• Expert code review, penetration testing, and exploit development skills, with the ability to find design flaws in unfamiliar codebases and land fixes that hold up against bypass attempts.
• Strong software development skills and the ability to ship production code. Ruby and Ruby on Rails experience is highly valuable, and Python is a plus. Strong Linux and cloud fundamentals, ideally GCP and Kubernetes.
• Deep experience with secure architecture and authentication and authorization patterns, and with building security building blocks that other teams adopt.
• Hands-on experience securing AI-powered systems or agent features, and a clear point of view on how AI changes application security.
• The judgment to make hard risk calls under ambiguity, and the influence to align technical and non-technical leaders without formal authority.

Preferred Qualifications

• Experience leading security for AI-native products, internal agents, or AI-assisted engineering workflows at scale.
• Experience building or scaling a security champions or developer enablement program.
• Public security work, such as CVEs, research, talks, or open-source tools, or certifications such as OSCP or OSWE.

Example Success Outcomes

• An AppSec strategy tied to Security department KRs, with supporting work committed in other teams’ roadmaps.
• A measurable drop in high-risk vulnerability classes, backed by shared guardrails or libraries.
• AI-assisted AppSec workflows adopted by teams outside Security, with clear gains in speed or signal quality.

Our Tech Stack

React on the front end; Ruby, Ruby on Rails, Python, MongoDB, and Elasticsearch on the backend; Kubernetes, Docker, and Terraform in infrastructure; GCP for cloud.

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.

Tier 1 Pay Range (San Francisco, New York City, Seattle)

$259,200 — $324,100 USD

Tier 2 Pay Range (All other US Locations)

$225,400 — $281,800 USD

We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.

Learn more here!