Description
COMPANY OVERVIEW
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We combine cutting-edge AI with human expertise to deliver security operations that are better, faster, and more cost-effective than traditional approaches.
We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital. Our team is mission-driven, customer-obsessed, and building something that matters — a new standard for how security operations should work.
Culture is one of the most important things at TENEX.AI http://TENEX.AI — explore our culture deck at culture.tenex.ai http://culture.tenex.ai to witness how we embody our values every day.
This role is perfect for those already in the Sarasota, FL or Kansas City, MO metro area, or eager to join us. Immerse yourself in a high-performance environment built on integrity, innovation, and a relentless drive to protect our customers.
ABOUT THE ROLE
As a Forward Deployed Implementation Engineer at TENEX, you are the engine that gets customers live. You will execute end-to-end platform deployments, onboard log sources, load TENEX's library of security content, and train customers so they get value from day one. This is a hands-on, customer-facing technical role for engineers who love seeing things work.
JOB RESPONSIBILITIES
- Execute end-to-end platform deployments across Google SecOps and/or Microsoft Sentinel for new customers
- Onboard log sources, configure data connectors, and validate ingestion pipelines
- Load and deploy existing TENEX content into customer environments — including parsers, dashboards, detections, and playbooks developed by the Security Solution Engineers — SIEM/SOAR
- Work from standardized playbooks to deliver MDR coverage within target SLOs
- Troubleshoot connectivity, ingestion, and configuration issues during deployment
- Enable customers through hands-on training — teaching them to navigate, understand, and get value from their deployed platform
- Document deployment configurations and handoff notes for the ongoing support team
- Manage multiple concurrent customer deployments depending on complexity and platform
- Escalate technical blockers to Senior Engineers or Manager when appropriate
REQUIRED SKILLS & QUALIFICATIONS
TECHNICAL & INDUSTRY EXPERTISE
- 2+ years in cybersecurity, IT operations, cloud engineering, or a related technical field
- Hands-on experience with SIEM platforms, particularly Google SecOps and/or Microsoft Sentinel
- Experience with log source onboarding, data connectors, and ingestion pipeline configuration
- Familiarity with data pipeline technologies such as Bindplane, OpenTelemetry, Cribl, or similar
- Scripting experience in Python, Bash, or similar languages
- Understanding of networking fundamentals and security operations workflows
- Experience with cloud platforms (GCP, Azure, and/or AWS)
SOFT SKILLS
- Strong problem-solving and troubleshooting skills with a bias toward action
- Excellent customer-facing communication and collaboration abilities
- Ability to thrive in a fast-paced, high-performance startup environment
- Passion for cybersecurity, automation, and continuous improvement
EDUCATION & CERTIFICATIONS
- Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)
- Relevant certifications such as CISSP, CISM, GIAC certifications, Google Cloud Professional, Microsoft SC-200/AZ-500, or AWS Certified Solutions Architect are a plus
WHY JOIN US?
- Opportunity to work with cutting-edge AI-driven cybersecurity technologies and next-generation security platforms
- Collaborate with a talented and innovative team focused on continuously improving security operations
- Competitive salary and benefits package
- A culture of growth and development, with opportunities to expand your expertise in AI, cybersecurity, and engineering
- Be part of building something new — TENEX's Forward Deployed Engineering organization is a greenfield opportunity to define how enterprise security is delivered at scale