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TENEX.AI
TENEX.AI
11 – 50 Employees
Artificial IntelligenceCybersecuritySaaS
TENEX.AI is a cybersecurity and SaaS company developing AI-driven Managed Detection and Response services. Its platform helps organizations monitor for threats, automate routine security operations, and respond quickly to incidents, supporting scalable protection as attack methods evolve. The company combines artificial intelligence with threat management and security automation for enterprises of different sizes.
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Forward-Deployed Implementation Engineer – EMEA Remote

Deploy TENEX.AI’s AI-driven MDR platforms for enterprise cybersecurity customers across EMEA. Configure SIEM and SOAR integrations, troubleshoot deployments, and train users on their security environments.

AEUnited Arab EmiratesGBUnited KingdomRemoteFull-timeJuniorMiddleEnglish RequiredCustomer SuccessImplementation Specialist
AWSAzureCloudCyber SecurityGoogle Cloud PlatformPython

Description

  • Deliver end-to-end platform deployments for new customers using Google SecOps and/or Microsoft Sentinel
  • Onboard log sources, configure data connectors, and verify ingestion pipelines
  • Deploy TENEX content such as parsers, dashboards, detections, and playbooks into customer SIEM and SOAR environments
  • Follow standardized playbooks to deliver MDR coverage within target service-level objectives
  • Resolve connectivity, ingestion, and configuration issues throughout implementation
  • Provide hands-on customer training to help users navigate, understand, and benefit from their deployed platform
  • Record deployment configurations and prepare handoff documentation for the ongoing support team
  • Coordinate multiple customer deployments based on platform and implementation complexity
  • Escalate technical impediments to Senior Engineers or the Manager when necessary
  • Lead customer-facing technical implementations for TENEX, an AI-native, automation-first Managed Detection and Response provider

Requirements

  • At least two years of experience in cybersecurity, IT operations, cloud engineering, or a related technical discipline
  • Practical experience with SIEM platforms, especially Google SecOps and/or Microsoft Sentinel
  • Experience onboarding log sources, configuring data connectors, and setting up ingestion pipelines
  • Familiarity with data pipeline tools such as Bindplane, OpenTelemetry, Cribl, or comparable technologies
  • Scripting ability in Python, Bash, or a similar language
  • Working knowledge of networking fundamentals and security operations processes
  • Experience with GCP, Azure, and/or AWS cloud platforms
  • Strong troubleshooting and problem-solving skills with a decisive, action-oriented approach
  • Excellent communication and collaboration skills in customer-facing settings
  • Ability to perform effectively in a fast-moving, high-performance startup
  • Demonstrated interest in cybersecurity, automation, and continuous improvement
  • Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or a related field, or equivalent practical experience
  • Certifications such as CISSP, CISM, GIAC, Google Cloud Professional, Microsoft SC-200/AZ-500, or AWS Certified Solutions Architect are advantageous
  • Legal authorization to work in the country where the position is based
  • Visa sponsorship may be necessary to continue working in the country

Benefits

  • Competitive salary and benefits package
  • Work with advanced AI-powered cybersecurity technology and next-generation security platforms
  • Partner with an innovative team dedicated to improving security operations
  • Professional growth opportunities to deepen expertise in AI, cybersecurity, and engineering
  • Greenfield opportunity to shape enterprise security delivery at scale
  • Remote work arrangement

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