Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead product strategy, roadmap, and delivery for Falcon Complete’s internal MDR tooling, including AI-powered investigation and triage, ticketing, case management, and analyst workbench systems. Partner with security operations, analysts, engineering, and data science teams to translate workflows into product requirements, prioritize automation, improve analyst productivity and response times, define success metrics, and enhance customer outcomes.

Conduct sophisticated threat hunting, dark web monitoring, and customer-specific cyber threat intelligence operations. Serve as a trusted customer advisor, research targeted threats, validate security controls using MITRE ATT&CK, prepare intelligence reports, and deliver briefings to stakeholders ranging from SOC analysts to CISOs. Collaborate across teams to develop solutions, respond to customer requests, and improve threat hunting services.

Leads and develops a team of 6–8 Corporate Account Managers responsible for upselling, cross-selling, renewals, and full-cycle sales to small and midsize businesses. Coaches representatives, improves sales strategies and close rates, recruits and trains new hires, collaborates with sales engineering and channel teams, manages pipeline and forecasts, and participates in customer engagements to drive expansions and renewals.

Build and maintain CrowdStrike’s golden-image platform and automated pipelines across Linux, macOS, and Windows. Develop Python automation for image builds, validation, drift detection, and testing; manage infrastructure as code with Ansible, Packer, and Terraform; integrate Jenkins, GitLab CI, and Artifactory; and support image lifecycle operations. The role includes troubleshooting production issues, security hardening, compliance collaboration, documentation, cross-team partnership, and participation in on-call rotations.

Lead technical marketing for Falcon Secure Access by creating demos, labs, workshops, and technical content that translate secure access, browser security, Zero Trust, and AI security capabilities into market-facing messaging, sales enablement, and go-to-market strategy. Collaborate cross-functionally to drive adoption and competitive differentiation.

Leads delivery of cybersecurity training across CrowdStrike technologies, manages technical instructors, and oversees coaching, performance, scheduling, budgets, reporting, and resource allocation. Partners with sales and internal teams to scope customer engagements, recommend training, and improve enablement and revenue outcomes. Serves as a technical training subject matter expert, develops courses, analyzes training effectiveness and KPIs, and communicates with executive and technical audiences. Requires cybersecurity expertise, training management experience, LMS and virtual delivery platform proficiency, project management, and occasional travel.

Lead design and build of an AI-native marketing platform: integrations, multi-agent orchestration, UIs, tooling, analytics, CI/CD, auth/multi-tenancy, and production AI agents to automate marketing workflows and drive adoption across teams.

Drive federal and DoD sales within an assigned region by developing pipeline and account plans, building executive relationships, closing software/security deals, collaborating with cross-functional teams and partners, forecasting, and using Salesforce to track opportunities to exceed quota.

Leads the Cloud Detection Platform organization, strategy, architecture, roadmap, and multiple engineering teams. Owns large-scale detection engines, content delivery infrastructure, reliability, latency, cost, SLOs, capacity, and quota management. Drives unified detection architecture, safe content deployment, testing, observability, and cross-functional roadmap execution while managing organizational planning, talent development, and operational excellence.

Define and drive CrowdStrike’s company-wide AI and agentic architecture. Design production AI systems, shared platforms, lifecycle workflows, and developer tooling across products and business units. Improve performance, resilience, scalability, observability, governance, security, and auditability across cloud and edge environments. Build reference implementations, guide architectural decisions, resolve complex engineering challenges, mentor technical leaders, and align senior stakeholders around AI strategy and implementation.