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Salary: USD 190,100 - 273,200 / annual
Apollo.io is a leading go-to-market platform trusted by over 500,000 companies globally. Founded in 2015, the company has raised approximately $250 million and is valued at $1.6 billion, backed by top-tier investors including Sequoia Capital and Bain Capital Ventures.
The Senior Application Security Engineer is a senior individual contributor (L6) responsible for strengthening Apollo's secure software development lifecycle and reducing application risk across product, platform, and AI-powered features. This role blends deep code-level application security work with strong cross-functional partnership.
Key responsibilities include:
**Secure SDLC, Design Review, and Threat Modeling:** Own and continuously improve the secure software development lifecycle for Apollo applications. Perform application security reviews, threat modeling, and deep code-level analysis for high-impact product, platform, and AI features before launch. Provide practical security architecture guidance to Engineering, Product, and IT teams. Help define and maintain application-security guardrails, secure design expectations, code review standards, and risk models.
**Vulnerability Management and Hands-On Remediation:** Drive execution-heavy vulnerability management across internal reviews, bug bounty, pentests, SCA/runtime findings, and other research signals. Go beyond identifying issues by reading code, explaining root cause, proposing safe fixes, and directly implementing or supporting remediation for complex vulnerabilities. Perform hands-on validation and offensive security testing including exploit development, bypass testing, and red-team-style exercises. Work across common SaaS application security issues including authentication/authorization weaknesses, access control risks, OAuth and CSRF design flaws, SSRF, cryptographic issues, information disclosure, unsafe execution patterns, and dependency vulnerabilities. Apply risk-based severity decisions using exploitability, data sensitivity, customer impact, and blast radius.
**Tooling, Automation, and AI:** Configure and improve AppSec tooling and integrations including SAST configuration, ignore lists, and dashboards. Select, build, or refine security tooling and small automations that reduce manual effort and scale AppSec operations. Use AI to automate and scale security and engineering processes while validating outputs with strong engineering judgment. Embed AI-specific security checks into SDLC reviews and code analysis, including input/output handling, AI-exposed APIs, prompt and response guardrails, and abuse/data-exfiltration paths. Partner cross-functionally on AI security requirements and controls.
**Engineering Enablement and Partnership:** Support and scale security enablement for engineers and security champions. Provide actionable remediation guidance, secure patterns, and examples. Partner closely with Engineering, Product, Platform, Data, Legal, and other security teams to keep AppSec priorities aligned with business risk and product velocity. Produce clear documentation, metrics, and written narratives that improve AppSec visibility and decision-making.
Success outcomes include improving the health and flow of AppSec findings within defined SLAs, completing recurring application reviews and threat models for important systems, increasing engineering adoption of secure patterns and tooling, and reducing manual toil through targeted automation.
**Requirements:**
- 5+ years of software engineering or application security experience, with meaningful hands-on AppSec depth in modern SaaS environments
- Strong software development skills and ability to read, write, and ship production code; Ruby experience highly valuable, Python or similar scripting ability a plus
- Strong Linux and cloud fundamentals, ideally with GCP-backed environment experience
- Deep familiarity with common AppSec issues, secure design, secure authentication and authorization patterns, vulnerability management, and developer security tooling
- Demonstrated ability to perform deep code review, penetration testing, and exploit-oriented validation; ability to either fix vulnerabilities directly or work closely with engineers to land durable remediations
- Experience handling findings from bug bounty, pentests, internal reviews, or automated security tooling through closure and verification
- Experience using AI-assisted tools, automations, APIs, or structured workflows to improve engineering or security processes at scale
- Experience securing AI-powered systems or features, including AI API exposure, prompt and response handling, data protection, misuse scenarios, and monitoring expectations
- Strong written and verbal communication, stakeholder management, and influencing skills across technical and non-technical partners
**Preferred Qualifications:**
- Experience supporting or leading security reviews for AI-native products, internal agents, or AI-assisted engineering workflows
- Experience improving secure-by-design practices and AppSec observability in fast-moving engineering organizations
- Experience with security training, developer enablement, or security champions programs
- Relevant security certifications
