Tenex
Director of Forward Deployed Engineering
Kansas City Metro · Director
Sponsorship not specifiedDetected 5 days ago
AWSGCPTerraformCI/CDAPI DevelopmentCybersecuritySIEMMicrosoft SentinelKQLSOARSOC OperationsDetection EngineeringCustomer SuccessLeadershipCommunicationCISSP
About the role
- TENEX.AI http://TENEX.AI is the AI-native, human-led MDR provider.
- deploying and integrating what they produce and relaying field context back to them.
- TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider.
Responsibilities
- Own time-to-protection across our supported platforms - the speed and repeatability of standing up Google SecOps, Microsoft Sentinel, and the Tenex Platform in customer environments for example.
- Lead multi-SIEM engineering - build, deploy, and manage pipelines, parsers, detections, playbooks and other configuration across Google SecOps, Microsoft Sentinel, and the Tenex Platform.
- Own integrations - data-source onboarding, connector/API work, and normalization that wire the customer's environment and security tooling into the SIEMs and the Tenex Platform
- build integration patterns that get reused, not rebuilt.
- Own context engineering - the data mappings, entity resolution, tuning, and environment knowledge that make the platforms actually perform per customer.
- Build the repeatable delivery machine - playbooks, intake, quality gates, and a capacity model that let the team scale against pipeline instead of heroics.
- Lead and scale the team - hire, coach, and develop the engineers responsible for platform implementation, content, and integration
- manage capacity against the customer pipeline
- own delivery quality, SLOs, and OKRs.
- Run the cross-team interfaces - partner with customer success, product management, threat intelligence, and cyber defense across the delivery lifecycle, and maintain clean support/relay channels with the advisory and agentic engineering functions.
Requirements
- Comfort with multi-tenant delivery and content-as-code / CI/CD workflows.
- Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)
- Must-have
- 8+ years in security engineering, security operations, or detection engineering, with 3+ years managing engineers (ideally managing leads/managers).
- Hands-on depth across both major SIEMs: Google SecOps (Chronicle - ingestion, parsers/CBN, YARA-L, entity graph) and Microsoft Sentinel (KQL, analytics rules, data connectors, Log Analytics) - or deep in one and strongly credible in the other, with clear ability to lead both.
- Integration engineering - data-source onboarding, connector/API development, and normalization across platforms.
- Demonstrated track record building repeatable delivery at scale - playbooks, quality gates, capacity planning - not just running individual projects.
- Strong customer-facing communication
- can own a delivery relationship with a customer security team.
- Nice-to-have
Nice to have
- SOAR / automation (Chronicle SOAR, Sentinel automation rules & playbooks).
- Pipeline and telemetry tooling (Bindplane, Logstash, or equivalent).
- Terraform / IaC for repeatable environment standup.
- Prior MSSP / MDR / managed security services experience.
- Experience operating alongside agentic and advisory functions without absorbing their scope.
- 90-day: Multi-SIEM delivery playbooks and quality gates in place.
- Time-to-protection baseline measured across SecOps and Sentinel deployments.
- Team capacity model built against pipeline.
Compensation
- Competitive salary and benefits package
Benefits
- Ongoing platform management running to a defined health/optimization cadence.
- Competitive salary and benefits package
- Own ongoing platform management - health, optimization, and lifecycle of deployed platforms across the book of business.
Company info
- 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 listing is sourced directly from Tenex's careers page and normalized into a canonical job model.