Consumer and enterprise cybersecurity platform with AI-driven threat detection
McAfee operates a consumer and enterprise security platform, currently undergoing significant modernization in data infrastructure and AI capabilities. The company is actively adopting Claude, Amazon Bedrock, and GitHub Copilot while migrating away from Okta, coupled with major projects in resilient ETL pipelines, scam and deepfake detection AI training, and real-time monitoring frameworks. The hiring mix—dominated by senior engineers, data, and marketing talent across five countries—reflects both engineering depth and accelerating sales motion to drive adoption.
Notable leadership hires: Creative Director, Monetization Director
McAfee is a cybersecurity company serving both consumer and enterprise markets from its San Jose headquarters. The organization spans 1,001–5,000 employees and operates across multiple product and service lines, from threat detection to fraud prevention. Current operational focus includes building scalable data architecture to support real-time monitoring and analytics, improving product-market fit through data-driven insights, and deploying AI-powered systems for scam and deepfake detection. The company maintains active engineering and data operations across the United States, Canada, Ireland, Spain, and India.
Core: SQL, Python, Node.js, AWS, GCP, Terraform. Monitoring: Datadog, CloudWatch, AppDynamics. Analytics: Google Analytics, Adobe Analytics, Power BI, Tableau, Looker. Workflow: Jira, Confluence, GitHub. ML: scikit-learn, pandas. Adopting: Claude, Amazon Bedrock, GitHub Copilot, Delta Lake, Apache Iceberg.
Primary focus: scam and deepfake detection AI training, resilient ETL pipelines, real-time monitoring and alerting frameworks, fraud prevention initiatives, advanced analytics programs, and scalable data model development. Also optimizing martech integration and checkout testing strategy.
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