Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.
Requirements: Experience managing a technical research or R&D team.
5+ years of experience in security or threat research, with a proven track record of delivering actionable insights and real-world impact.
Experience driving projects from concept to execution with a strong sense of ownership.
Intimate knowledge and understanding ofattack methods and techniques (TTPs) over endpoints and enterprise networks.
Technical proficiency in Python, including experience providing code reviews for team members and adhering to best practices.
Ability to work with and extract meaningful insights from large-scale datasets, including strong foundational knowledge of basic statistics.
Excellent people management, verbal, and written communication skills, with a proven ability to collaborate across organizational boundaries.
Preferred Qualifications
In-depth knowledge of the inner workings of operating systems (especially Windows internals).
Experience in designing and implementing behavioral detection/investigation systems.
Experience working with graph DB and algorithms
Advanced background in statistics, data studies, or machine learning.
This position is open to all candidates.