Principal Product Manager - Business Applications AI

Location: Santa Clara, California; San Francisco, California; San Jose, California.

About the role

We are seeking a passionate and self-driven Sr. Staff Researcher to join our Cloud-Delivered Security Services team. In this role, you will be pivotal in developing and refining the security content that powers our next-generation products. You will build and optimize automation systems to process real-time data, collaborate with experienced researchers to analyze emerging threats, and contribute directly to the detection and prevention of malware and other digital threats.

Responsibilities

• Design, build, and optimize automation systems for real-time data collection and processing to support threat detection.
• Apply advanced AI/ML methods, including anomaly detection and deep learning, to analyze real network traffic for threat detection and mitigation.
• Conduct in-depth research on network security countermeasures to identify and mitigate sophisticated cyber attacks.
• Proactively collaborate with fellow security researchers to analyze adversarial activities and implement robust, proactive protections.
• Build high-quality, complex systems as part of an incredible research team - creative thinker and team player with a passion for data-driven and AI-driven security research.
• Translate threat research findings into tangible security solutions and protections within our product ecosystem.

Qualifications

Required Qualifications:

• MS and/or PhD with 3-5 years of experience
• Strong research, communication, and presentational skills.
• Basic understanding of malware types (e.g., phishing, Spyware, Ransomware, Exploits) and popular vulnerabilities (e.g., command injection, buffer overflow).
• Strong familiarity with key network protocols such as HTTP, SMTP, DNS, TCP/IP, and FTP.
• Proficiency in at least one programming language, such as Python or Go.
• Strong engineering and coding skills, ability to fastly learn and adapt to new programming languages and technologies.
• In-depth cybersecurity background, ideally with expertise in detecting security threats over the Internet.

Preferred Qualifications:

• Experience with ML/GenAI techniques (e.g., anomaly detection, deep learning, NLP), tools (e.g., TensorFlow, PyTorch, Scikit-Learn) - including training and testing workflows, and technologies.
• Practical exposure to malware analysis and Capture-the-Flag (CTF) exercises.
• Hands-on experience with traffic analysis tools (e.g., Wireshark, tcpdump) and reverse engineering tools.
• Prior work experience in early-stage, fast-growth startups is a plus.
• Hands-on experience on open source projects is a plus.
• Experience with malware traffic analysis, signature mining, sandboxing is a plus.
• Experience with crawling infrastructures and security scanners is a plus.
• Experience with email or browser security is a plus.

Pay

$139,600.00 - $225,775.00 per year