Threat Research Engineering Lead

The Threat Research Engineering Lead at Material Security is responsible for driving the team's threat detection strategy, improving methodologies for detecting malicious messages, and coordinating with machine learning and engineering teams to enhance model development. Additionally, the lead will research attacker campaigns, identify useful signals for training classification systems, and ensure high privacy standards for customer data.

Material Security seeks candidates with strong leadership capabilities, solid data analysis skills, and familiarity with modern adversary behavior. Applicants should have experience in authoring high-fidelity detections and a deep understanding of security domains. Collaboration and communication skills are vital, alongside a commitment to continuous learning and ownership of one’s work.

In the Threat Research Engineering Lead role, you will develop cutting-edge detection capabilities to identify email-related threats that slip past existing defenses. Your contributions will directly impact tools and processes that enhance email security, ensuring a safer experience for all users protected by Material Security.

As a Threat Research Engineering Lead at Material Security, you can expect to work in a transparent, collaborative, and innovative environment. You will engage with cross-functional teams including software engineers, data scientists, and product managers, fostering a culture where open communication and teamwork are paramount.

The compensation for the Threat Research Engineering Lead position at Material Security ranges from $214,000 to $252,000, influenced by a variety of factors including knowledge, skills, and experience. Material Security values its employees and strives for fair compensation in alignment with their contributions.

I employ a combination of data analysis, machine learning models, and signature-based detection techniques. By analyzing historical data, I can identify patterns and anomalies that indicate potential threats, allowing for proactive measures.

I believe in a data-driven approach where I analyze current threat landscapes and align detection roadmap initiatives accordingly. Collaboration with cross-functional teams is crucial to ensure our strategies are comprehensive and effective.

Absolutely! I have extensive experience using SQL for querying large datasets, enabling me to glean insights and identify threats effectively. My background has honed my analytical skills, allowing me to parse data efficiently.

I typically examine patterns in infrastructure, communication, and tactics. By leveraging both existing intelligence and my analysis, I can create profiles that help identify the signature of various threat actors.

I prioritize data privacy by implementing strict data handling protocols, utilizing anonymization techniques, and regularly training my team on best practices to ensure that customer data is protected at all times during our threat detection efforts.

In such cases, I focus on conducting a thorough post-mortem analysis to identify the gaps. I then refine our methodologies or develop new tooling that addresses those deficiencies, reinforcing our detection systems.

I continually educate myself through various channels, including threat intelligence reports, community forums, conferences, and peer collaboration, ensuring that I remain at the forefront of security developments.

One major challenge is the rapid evolution of attack methods. I aim to overcome this by maintaining adaptable systems and fostering a proactive approach in my team's research initiatives.

Collaboration is vital in my role. It allows us to leverage diverse skills and perspectives, ultimately leading to stronger detection methods and improved outcomes for security as a whole.

I'm driven by the challenge and impact my work can have on improving security. Knowing that my contributions help protect users and their data motivates me to continually refine my skills and methodologies.