Chief Technology Officer
Listed on 2026-09-01
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Location:
Las Vegas, NV (hybrid; flexible for the right candidate)
Reports to:
Chief Executive Officer
Direct reports:
Heads of Engineering, AI, Business Intelligence, and Product
Neato is a Las Vegas-based eCommerce accelerator that purchases inventory from established consumer brands and operates as their exclusive marketplace partner across Amazon and the broader digital commerce ecosystem. The company is 90 employees, backed by Advantage Capital with a Series A at a $100M pre-money valuation, and operates a portfolio of consumer brands across multiple categories.
The OpportunityNeato is hiring a Chief Technology Officer to lead the technology and AI organization through the company's next phase of growth. The CTO oversees engineering, artificial intelligence, business intelligence, and product, and is one of five C-suite executives reporting to the CEO.
The company has built proprietary platforms across warehouse operations, analytics, and listing management that drive measurable margin gains and operational advantages over competitors. Neato has also invested significantly in applied AI across the operating stack, with deployed agent systems supporting finance, operations, and brand management. The CTO's mandate is to lead these systems to maturity, expand their reach across the organization, and convert the operating leverage they generate into durable competitive advantage.
The role carries broad authority over technology strategy, platform architecture, engineering talent, and AI governance. The CTO partners directly with the CEO on strategic direction and engages regularly with the C-suite and institutional stakeholders.
You Are… AI-Forward- You use AI in your own daily work — writing code, drafting strategy documents, analyzing data, building tools for yourself — not just managing teams that do. You can show us how AI is embedded in how you actually work today, with specifics.
- You have built or deployed production AI systems with real users and real cost economics, and you can speak in detail about what worked, what failed, and what you learned about the gap between AI in a demo and AI in production.
- You hold defensible positions on model selection, agent architecture, evaluation methodology, and the operational economics of LLMs read primary sources in the field rather than industry summaries, and you can articulate where the field is going and why.
- You believe AI-augmented workflow is the default operating mode for a modern organization, not an enhancement layered on top of traditional engineering. You set that standard for the teams you lead and can describe how you have done so previously.
- You believe you are in the top 1% of the 1% when it comes to AI and you can defend your beliefs in heated debate.
- You think like a product leader, not only an engineer. You understand what to build and why, not just how, and you can talk fluently about user outcomes, adoption, and business impact alongside technical execution.
- You have direct experience defining and executing product roadmaps for software platforms, and you can describe specific decisions where you said no to a feature, killed a project, or changed direction based on real data.
- You translate business problems into product opportunities and can defend the tradeoffs you made in doing so. You are comfortable being challenged on those tradeoffs by sophisticated executives and non-technical operators alike.
- You have discipline about what does not get built. You can hold the line against feature requests from senior stakeholders when the request is not the right use of the team's capacity, and you can do so without damaging the relationship.
- You think about adoption and operator behavior, not just shipping. You understand that internal users at a company like Neato are themselves your customers, and you build products with their actual workflow in mind.
- You are comfortable being the senior-most product voice in the room while the company builds out a dedicated product function, and you have a clear point of view on how that function should eventually be staffed and structured.
- You give honest, direct…
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