Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead large-scale collection and analysis of deep and dark web data, build and maintain production-grade automated collection systems (LLM-integrated), operate Docker/cloud-based pipelines and APIs, respond to collection failures and incidents, perform threat actor research, and apply OPSEC tradecraft while collaborating globally.

Lead design and delivery of premium executive programs and experiences for CxOs, owning planning, budgets, logistics, content, and onsite operations. Partner with executives and cross-functional teams to craft agendas, anticipate risks, ensure flawless execution, and build trusted, personalized engagement across the executive lifecycle.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Lead OSINT and engagement-driven investigations into Russian-language eCrime actors across surface, deep, and dark web. Collect actionable intelligence, produce contextual internal reports, collaborate with analytic teams, employ secure virtual OPSEC tradecraft, and leverage AI to accelerate research and decision-making under tight deadlines.

Lead and develop a team of 6-8 Corporate Account Executives to acquire mid-market customers. Drive pipeline and revenue, provide deal support and coaching, forecast accurately, recruit and onboard sales talent, partner with internal teams to improve execution, and meet customers to demonstrate CrowdStrike's cybersecurity value.

Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

Perform real-time detection, containment, and remediation of security incidents across Windows, macOS, and Linux. Conduct malware and forensic analysis, develop detection processes and countermeasures, produce customer communications, and contribute thought leadership and public-facing content.

Design, build, deploy, and iterate production-ready AI agents and LLM-based solutions that integrate with enterprise workflows. Rapidly prototype, evaluate, and optimize agents for performance, cost, and adoption. Partner across functions to redesign workflows, contribute to an AI Center of Excellence, and ensure responsible, secure, and scalable agent development.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.