We need someone who gets excited about building engineering teams that wrangle data at a scale that would make most databases cry. Not the kind of manager who just talks about "big data," but someone who understands the difference between processing millions of records and processing billions while maintaining sub-second query performance. CloudZero's data platform is the beating heart of everything we do. We ingest billions of cost and usage events daily from AWS, Azure, GCP, and a growing list of SaaS and AI providers. When the fastest-growing engineering teams in the world throw their entire cloud spend at us, our pipelines don't flinch. When their CFOs need real-time cost attribution for board meetings, our warehouse delivers. This isn't batch processing your grandfather's ETL jobs; this is event-driven, serverless architecture that processes terabytes while customers watch. You'll be running a team of 8 engineers who are solving legitimately hard problems: how do you build data pipelines that scale gracefully from startup to enterprise without architectural rewrites? How do you maintain data consistency across multiple cloud providers with different billing models? How do you optimize query performance when your customers' data grows by orders of magnitude? The challenge isn't just technical. You're managing engineers who could easily land staff roles at FAANG companies, keeping them engaged on problems that push the boundaries of what's possible with modern data architecture. We've built something genuinely innovative here, but we're scaling fast.