Senior Cybersecurity Analyst
Tenex AI - Kansas City, MO SOC, Overland Park, KS, United States, Sarasota, FL HQ, Scottsdale, AZ
Posted Mar 30, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Senior Cybersecurity Analyst Kansas City, MO SOC, Overland Park, KS, United States, Sarasota, FL HQ, Scottsdale, AZ Company Summary: TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape. We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside Job Summary: We are seeking a highly skilled and proactive Senior Cybersecurity Analyst to join our Security Operations Center (SOC) team. The ideal candidate will have a strong background in cybersecurity, leading and mentoring other team members, coupled with experience in leveraging AI and machine learning (ML) technologies, particularly in the context of Google's SecOps platform (e.g. Google Chronicle), to enhance the detection, analysis, and response to security incidents. This role is
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