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Build and operate scalable security tooling, applications, APIs, and automation for CrowdStrike’s global multi-cloud Product Security environment. Responsibilities include software supply chain security, AI-powered vulnerability discovery, platform visibility, risk assessments, CI/CD, SRE operations, datastore management, monitoring, and incident response support. The role partners across Product Security to define tooling strategy and maintain mission-critical security services.

Monitor emerging vulnerabilities, assess exploitability and business risk, prioritize remediation, and develop vulnerability intelligence frameworks. Implement asset detection and monitoring across cloud and data-center environments, maintain vulnerability management KPIs, communicate security posture to technical and executive stakeholders, use CrowdStrike Falcon capabilities, and build security tooling. The role requires scripting, threat intelligence research, cloud and Linux experience, cross-functional collaboration, and AI-enabled workflow improvements.

Design, implement, operate, and troubleshoot CrowdStrike’s global multi-vendor, multi-cloud, hybrid data center networks. Build cloud connectivity and network constructs, develop infrastructure-as-code and automation using Ansible, Terraform, Python, and Go, improve resilience and deployment efficiency, support incident analysis and on-call rotations, and ensure compliance with regional data sovereignty and security requirements.

Owns marketing strategy for a strategic technology alliance in Europe, including positioning, messaging, go-to-market planning, integrated B2B campaigns, partner ecosystem enablement, executive communications, and KPI reporting. The role coordinates cross-functional teams across partner, field, product, brand, communications, PR, digital, content, and events. It focuses initially on Germany and supports cybersecurity, AI-native, sovereign cloud, and regulated-industry propositions across Europe.

The role involves selling enterprise security software solutions, driving revenue growth through new accounts, and collaborating with internal teams for customer onboarding and support. Responsible for account planning, forecasting, and relationship management with decision-makers at executive levels.

Drive new business and expansion across corporate accounts by leading full cybersecurity sales cycles from prospecting through closing. Develop account strategies, build executive relationships, collaborate with internal teams and channel partners, forecast revenue, maintain CRM records, and provide consultative security solutions. Fluency in English, Portuguese, and Spanish is required, along with occasional travel and experience using AI to improve sales workflows and outcomes.

Develops technically rigorous cybersecurity sales curricula, labs, assessments, and enablement content for internal and partner Sales Engineers. Serves as a cybersecurity and AI subject matter expert, incorporates cloud and IT infrastructure architecture, monitors threats and product updates, and delivers instructor-led training. Enables effective technical demonstrations, Proof of Value engagements, and value-based sales motions across European and global audiences.

Build and execute regional channel strategy by managing distribution, VAR, reseller, and referral partners. Responsibilities include recruiting and onboarding partners, developing revenue plans, increasing partner-originated opportunities, coordinating technical enablement, supporting joint sales efforts, and executing partner marketing programs. The role requires strong channel sales experience, cybersecurity knowledge, communication skills, quota achievement, and travel across assigned countries.

Manage customer onboarding, training, adoption, retention, and growth for the Falcon Shield SaaS security platform. Build trusted relationships with security teams, understand business objectives, create measurable success plans, conduct strategic reviews, demonstrate product value, and advise on SaaS security posture and architecture. Collaborate with Product and R&D teams on customer feedback and feature improvements while using AI technologies to improve workflows and decision-making.

Analyze malware, binary files, customer detection tickets, and machine learning detections to improve detection efficacy and reduce false positives. Review product detections, assess binary legitimacy, address internal detection questions, and provide insights to data science teams. The role collaborates with technical account managers, incident response teams, data scientists, and malware researchers. Required capabilities include malware analysis, reverse engineering, Python scripting, binary fundamentals, threat assessment, research methods, operating systems, and AI-assisted workflow improvement.