Staff Application Security Engineer

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Role Overview

The Staff Application Security Engineer leads application security strategy for Apollo’s Security department and delivers it through hands-on work and technical leadership. This role takes on the hardest AppSec problems across product, platform, and AI-powered features, including problems with no established playbook.

The role shapes the roadmaps of Engineering, Product, and Platform teams so secure patterns become the default, and sets the AppSec standard that helps many teams build securely without relying on any single person.

Key Responsibilities

AppSec strategy, standards, and influence

Lead Apollo’s multi-year AppSec strategy and turn it into multi-quarter, cross-team initiatives that move Security department KRs. Report progress, risks, and tradeoffs to Security leadership on a regular cadence.

Shape Engineering, Product, Platform, and Data roadmaps so security work is planned in early, and represent AppSec in cross-department decisions.

Set the secure design, code review, and risk model standards used across the department and adjacent engineering teams, including expectations for AI-generated and agent-generated code.

Mentor senior engineers and security champions, grow the champions program, and help raise the hiring bar, so the AppSec program does not depend on one person’s expertise.

Secure architecture and vulnerability depth

Lead security architecture reviews and threat modeling for ambiguous, high-scale, multi-team systems, including AI and agent features, and define the approach where no precedent exists.

Design and drive adoption of secure-by-default building blocks, such as shared authorization, safe OAuth and token handling, and SSRF-safe HTTP clients, so whole classes of issues stop appearing.

Shape vulnerability management across internal reviews, bug bounty, pentests, and SCA and runtime findings, with a focus on root causes, bug classes, and clear risk-based severity decisions.

Stay hands-on for the hardest cases: read code across teams, develop exploits, test bypasses, and lead variant analysis and staged remediation across teams.

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.

Pay Transparency Range

$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 , giv