Abnormal Security is a leader in advanced email threat detection, leveraging artificial intelligence to protect organizations from the most sophisticated cyber attacks. Our mission is to provide comprehensive, intelligent email security solutions that stop business email compromise, phishing, and other complex threats. We are looking for a Technical Documentation Writer who is passionate about cybersecurity and skilled at using AI tools to craft high-quality, customer-facing technical content.
About the Role
As a Technical Documentation Writer at Abnormal Security, you will play a critical role in creating, managing, and enhancing technical documentation that helps our customers understand and use our advanced cybersecurity products. You will leverage AI-powered tools to improve the quality and efficiency of your work, ensuring our documentation is accurate, clear, and effective for both technical and non-technical audiences.
Key Responsibilities
- Create and Maintain Documentation: Develop detailed and easy-to-understand technical documentation, including user manuals, configuration guides, release notes, API documentation, and troubleshooting guides for Abnormal Security’s cybersecurity products.
- Leverage AI Tools: Utilize AI-driven tools to automate repetitive tasks, generate initial drafts, and refine technical content to ensure consistency, clarity, and readability for a diverse audience.
- Cybersecurity Focus: Write technical content that conveys complex cybersecurity concepts such as phishing detection, business email compromise (BEC), threat intelligence, and security operations workflows in a clear and accessible way.
- Collaborate with Teams: Partner with product managers, engineers, threat analysts, and customer success teams to gather insights about new features and updates, ensuring that all technical documentation is accurate and user-focused.
- Enhance Customer Experience: Continuously update and improve documentation based on customer feedback, leveraging AI analytics to optimize content for better user engagement and understanding.
- Ensure Accuracy and Compliance: Ensure that all content is accurate, up-to-date, and complies with industry standards and regulations relevant to cybersecurity (e.g., GDPR, CCPA).
- Support Product Releases: Maintain version control and ensure that all product-related documentation is updated in alignment with product launches and updates.
- Contribute to Knowledge Base: Expand Abnormal Security’s knowledge base with new technical content, FAQs, and best practices that empower customers to maximize the use of our cybersecurity products.
Qualifications
- Education: Bachelor’s degree in Technical Writing, Cybersecurity, Computer Science, Information Technology, or a related field.
- Experience: 2+ years of experience in technical writing, preferably within the cybersecurity or technology industry.
- Skills:
- Familiarity with cybersecurity concepts, especially in areas like email security, phishing, malware detection, and incident response.
- Experience with AI-based content creation tools (e.g., GPT-based models, automated documentation platforms) to improve efficiency and consistency in technical writing.
- Strong ability to convey complex technical concepts (cyber threats, security policies, etc.) in a simple and customer-friendly manner.
- Proficiency in content management systems (CMS) and version control tools like Git.
- Basic understanding of cybersecurity standards, regulations, and compliance (e.g., GDPR, SOC 2).
- Knowledge of technical frameworks like REST APIs and some exposure to scripting or programming languages (HTML, Python) is a plus.
- Problem-Solving: Ability to understand complex cybersecurity technologies and convert them into easy-to-follow documentation for users.
- Attention to Detail: Strong commitment to producing accurate, clear, and user-focused content.
- Collaboration: Excellent communication skills and the ability to work cross-functionally in a fast-paced, dynamic environment.
Why Join Abnormal Security?
- Cutting-Edge Technology: Work at the forefront of AI and cybersecurity, developing documentation for advanced products that protect organizations from the most sophisticated email attacks.
- Professional Growth: Opportunities to deepen your expertise in both technical writing and cybersecurity, with continuous learning and career development support.
- Work Flexibility: Enjoy a remote work environment that promotes work-life balance.
- Competitive Compensation: A comprehensive benefits package, including health, dental, retirement options, and additional perks to enhance your overall well-being.
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At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
Base salary range:
$114,800—$135,000 USD
Top Skills
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.