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Customer support is buckling under mounting complexity even as expectations accelerate. Today's customers demand AI-driven, real-time solutions, yet most companies remain stuck in pilot mode, unable to translate AI into tangible results. The pressure is only intensifying. Analysts predict that by 2029, autonomous agentic systems will handle the majority of routine issues, creating a widening chasm between what customers expect and what current infrastructures deliver.
We are bridging that divide with a new paradigm: AI-enhanced "cyborg" agents who blend advanced diagnostic skills with product insight and agentic intelligence. In this position, you will train, refine, and mentor the tools themselves. Each resolution you engineer strengthens our automation layer, every root cause investigation becomes a scalable playbook, and every outlier you decode elevates the system for thousands of future users. This is the intersection of sophisticated troubleshooting, human judgment, and AI coordination—delivering swifter outcomes now while building cumulative intelligence for the future.
This role demands hands-on problem resolution at production scale. You will deconstruct ambiguous breakdowns spanning networks, databases, cloud infrastructure, and enterprise applications; harness AI to form hypotheses, validate theories, and accelerate diagnosis; capture the human logic that trains our platforms; and proactively identify trends that convert isolated fixes into enduring automation. It is not about following scripts, sorting tickets, or escalating to "Level 3." If you excel at lateral thinking when documentation is sparse, if you transition seamlessly from packet inspection to execution plans to workflow logs, and if you can confidently challenge an LLM's output, this environment will suit you.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.






It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of AI-first remote workers.