高级应用安全工程师
Senior Application Security Engineer
[Apollo.io](http://apollo.io/) 是收入团队的领先市场进入解决方案,全球超过50万家公司和数百万用户信赖该平台,从快速增长的初创公司到世界最大的企业均包括在内。自2015年成立以来,该公司是SaaS领域增长最快的公司之一,迄今为止已融资约2.5亿美元,估值达16亿美元。[Apollo.io](http://apollo.io/) 为销售和营销团队提供对全球2.1亿个B2B联系人和3500万个公司的验证联系数据的便捷访问,以及在一个统一平台上与这些联系人互动并将其转化为客户的工具。通过帮助收入专业人士找到最准确的联系信息并自动化外联流程,[Apollo.io](http://apollo.io/) 将潜在客户转化为客户。Apollo于2023年完成D轮融资,由顶级投资机构投资,包括红杉资本、贝恩资本风投等,其董事会成员还包括Hubspot前总裁兼首席运营官JD Sherman。
#### 职位概述
高级应用安全工程师是一个高级个人贡献者角色,负责加强Apollo的安全软件开发生命周期,并降低产品、平台和AI驱动功能中的应用风险。
该职位结合了深入的代码级应用安全工作与强大的跨职能合作。包括应用安全评审、威胁建模、应用安全工具、漏洞发现的分类和修复跟进、外部测试接收,以及开发人员赋能。
该职位定位于L6高级个人贡献者级别:负责半年度或年度目标,以合理的判断解决模糊问题,改进操作流程,并推动有意义的跨团队协作和影响力。
#### 主要职责
##### 安全SDLC、设计评审和威胁建模
- 负责并持续改进Apollo应用的安全软件开发生命周期,使安全嵌入到设计、实现和部署中。
- 在发布前对高影响的产品、平台和AI功能进行应用安全评审、威胁建模和深入的代码级分析。
- 为工程、产品和IT团队提供实用的安全架构指导
- 协助定义和维护应用安全的护栏、安全设计期望、代码评审标准和新旧系统的风险模型。
##### 漏洞管理和实际修复
- 负责漏洞管理,包括识别、评估和修复关键系统中的安全漏洞。
查看英文原文
[Apollo.io](http://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](http://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](http://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 Senior Application Security Engineer is a senior individual contributor 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. It includes application security reviews, threat modeling, AppSec tooling, findings triage and remediation follow-through, external testing intake, and developer enablement.
This role is calibrated at the L6 senior-IC level: owning semi-annual or annual goals, solving ambiguous problems with sound judgment, improving operational processes, and driving meaningful cross-team collaboration and influence.
#### Key Responsibilities
##### Secure SDLC, design review, and threat modeling
- Own and continuously improve the secure software development lifecycle for Apollo applications so security is embedded into design, implementation, and deployment.
- 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 for new and existing systems.
##### Vulnerability management and hands-on remediation
- Drive execution-heavy vulnerability management across internal reviews, bug bounty, pentests, SCA/runtime findings, and other research signals, ensuring findings are validated, prioritized, routed clearly, and tracked through remediation and verification within SLAs.
- Go beyond identifying issues: read the code, explain root cause, propose the safest fix, and directly implement or support remediation when needed for complex vulnerabilities.
- Perform hands-on validation and offensive security testing of applications and fixes, including exploit development, bypass testing, adversarial thinking, and focused red-team-style exercises, to confirm remediations address the underlying issue rather than only the initial symptom.
- Work across the kinds of application security issues common in modern SaaS environments, including authentication and authorization weaknesses, access control risks, OAuth and CSRF design flaws, SSRF, cryptographic and verification issues, information disclosure and data exposure risks, unsafe execution and deserialization patterns, and dependency or runtime vulnerabilities.
- Apply clear, 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, dashboards, and other controls that maintain useful coverage without excessive noise.
- Select, build, or refine security tooling, small automations, and workflow enrichments that reduce manual effort and scale AppSec operations responsibly.
- Use AI to automate, transform, and scale security and engineering-adjacent processes where it materially improves speed, consistency, or signal quality, while still validating outputs with strong engineering judgment.
- Embed AI-specific security checks into SSDLC reviews and code analysis, including input and output handling, AI-exposed APIs, prompt and response guardrails, and abuse or data-exfiltration paths.
- Partner cross-functionally on AI security requirements and controls so AI systems and AI-powered features are designed, deployed, and operated securely.
##### Engineering enablement and partnership
- Support and scale security enablement for engineers and security champions, including secure coding, AppSec, and AI-safety content.
- Provide actionable remediation guidance, secure patterns, and examples that help engineering teams fix issues quickly and correctly.
- 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, observability, and decision-making.
#### What Good Looks Like
- Owns meaningful AppSec goals over a semi-annual or annual horizon and independently identifies the right solutions to ambiguous, open-ended problems.
- Drives cross-team collaboration and operational improvements beyond isolated tickets or one-off reviews
- Makes informed decisions by balancing technical detail, business context, customer trust, and long-term risk
- Sets a high bar for ownership, communication, mentoring, and technical judgment, and helps raise the effectiveness of peers and partner teams.
#### Required Skills & Experience
- 5+ years of software engineering or application security experience, with meaningful hands-on AppSec depth in modern SaaS environments.
- Strong software development skills and the ability to read, write, and ship production code; Ruby experience is highly valuable, and Python or similar scripting ability is a plus.
- Strong Linux and cloud fundamentals, ideally with experience in GCP-backed environments.
- 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, and to either fix vulnerabilities directly or work closely with engineers to land durable remediations that hold up against bypass attempts and variant analysis.
- 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 a fast-moving engineering organization
- Experience with security training, developer enablement, or security champions programs
- Relevant security certifications are a plus
#### Example Success Outcomes
- Improve the health and flow of AppSec findings by keeping prioritization, remediation, and verification moving within defined SLAs.
- Complete recurring application reviews or threat models for important systems and features
- Increase engineering adoption of secure patterns, AppSec tooling, and security training
- Reduce manual toil and improve AppSec signal quality through targeted automation and responsible use of AI-assisted workflows.
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)
$218,000—$273,000 USD
Tier 2 Pay Range (All other US Locations)
$190,000—$237,000 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!](https://www.apollo.io/we-are-apollo)