This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Security Practitioner (Product Engineering) in United States.

This role sits at the intersection of cybersecurity, AI research, and product engineering, focusing on building and validating next-generation security capabilities powered by artificial intelligence. You will work closely with a product AI team to design real-world security use cases, simulate adversary behavior, and evaluate AI-driven SOC solutions. The environment is highly technical, experimental, and fast-evolving, with a strong emphasis on applied research and practical implementation. You will contribute directly to improving how modern security operations detect, respond to, and automate threat handling. This position is ideal for someone who thrives in hands-on security work, enjoys blending offensive and defensive techniques, and is passionate about AI-enabled cybersecurity innovation.

Accountabilities:

Design and execute real-world security use cases to evaluate AI model effectiveness in SOC environments
Develop threat simulations, emulate adversary (APT) behavior, and create attack scenarios for testing purposes
Build automated testing frameworks using Python, shell scripting, and related tooling
Contribute to the development and refinement of AI-driven security product capabilities
Analyze model performance and provide insights to guide AI engineering priorities
Collaborate with product and engineering teams to improve security operations workflows
Generate and manage security datasets to support AI training and evaluation
Validate the practical effectiveness of AI solutions in real-world security operations contexts

Requirements:

Experience in security operations, threat research, incident response, or security engineering
Strong technical skills in Python, shell scripting, and working with databases or data lakes
Solid understanding of cybersecurity tools, cloud environments, and security architectures
Hands-on experience with AI/ML technologies and AI-driven development practices
Familiarity with enterprise software development lifecycles and production environments
Ability to translate complex security concepts for cross-functional engineering teams
Strong analytical mindset with a practical, hands-on approach to problem solving
Experience in SOC environments, threat intelligence, or adversary emulation is highly valued
Exposure to security automation, cloud-based attack simulation, or AI security solutions is a plus
Contributions to open-source projects, research publications, or technical talks are highly desirable

Benefits:

Competitive compensation aligned with experience and expertise
Fully remote work environment within the United States
Opportunity to work on cutting-edge AI and cybersecurity innovation
Exposure to advanced SOC technologies and enterprise-scale security systems
Collaborative, research-driven engineering culture
Professional growth in both AI and cybersecurity domains
Opportunity to contribute to high-impact, real-world security solutions

Sr. Security Practitioner (Product Engineering)

Accountabilities:

Requirements:

Benefits:

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