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Customer expectations in technical support are rising while organizational complexity deepens. Today's customers anticipate AI-driven, immediate resolutions, yet most companies remain stuck in pilot phases, unable to convert AI investments into tangible results. The challenge is about to intensify. Industry forecasts suggest that by 2029, agentic systems will autonomously handle the majority of routine issues, creating a widening chasm between what customers expect and what most teams can deliver today.
Our approach bridges this divide through a hybrid model: AI-enhanced "cyborg" specialists who combine sophisticated troubleshooting expertise with product mastery and agentic AI capabilities. In this position, you will train, refine, and guide these tools. Each resolution you engineer strengthens our automation framework, every root cause you identify becomes a repeatable solution, and every anomaly you decode elevates system performance for thousands of future customers. This is the convergence point of expert troubleshooting, human judgment, and AI coordination—delivering accelerated resolutions now while building compounding intelligence for the future.
This position demands hands-on problem resolution at production scale. You will investigate ambiguous system failures spanning networks, databases, cloud infrastructure, and enterprise applications; harness AI to form hypotheses, validate assumptions, and expedite diagnosis; capture the human reasoning that educates our systems; and proactively identify patterns that transform isolated fixes into sustainable automations. This is not about following scripts, sorting tickets, or escalating to senior tiers. If you excel at lateral thinking when documentation is sparse, if you can transition seamlessly from packet analysis to execution plans to workflow traces, and if you're confident challenging an LLM's conclusions, this role 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.
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