Director of Forward Deployed AI Engineering

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Deadline

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About this role

Director of Forward Deployed AI Engineering Kansas City Metro, Overland Park, Kansas, United States, Sarasota, FL HQ 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 - explore our culture deck at 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 Director of Forward Deployed AI Engineering, you lead the most innovative team in the TENEX FDE organization - a dual-function group of customer-embedded engineers and AI & Data Scientists working to solve hard problems and build solutions that scale. You will define how the team engages with customers, how solutions are built and productized, and how AI-native tooling accelerates the work. Job Responsibilities - Lead and scale the Forward Deployed AI Engineering team across its two functions: customer-embedded engineering and AI & Data Science - Own the team's mandate: embed in strategic customer

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