Keebo is an autonomous data warehouse optimization company. Its agentic AI tunes Snowflake and Databricks warehouses for 27% average savings. Backed by Pear VC.
About the role
We're an AI-first engineering team. We use agents across design, implementation, review, and testing, and we hold their output to the same standard as any other pull request: read it, question it, and reject it when it’s wrong. We adopt new tools and processes quickly, and we drop what isn’t working. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of software engineering experience, including time at an early-stage startup (Seed through Series B)
- Deep experience with AI coding agents, and examples of how to scale their use across a team
- The judgment to catch AI output that is wrong, incomplete, or risky, especially with customer data, and the habit of adapting as tools change
- A track record of scaling systems as load, data, and customers grow
- Strong architectural skills, with examples
- Sound tradeoffs: you know when to ship something simple and when reliability, data integrity, or architecture can't wait
More about this role
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. Our platform learns each customer's workloads and adjusts warehouse settings in real time, so data teams don't have to. We're venture-backed, built on years of database and machine learning research, and fully remote.
We're an AI-first engineering team. We use agents across design, implementation, review, and testing, and we hold their output to the same standard as any other pull request: read it, question it, and reject it when it’s wrong. We adopt new tools and processes quickly, and we drop what isn’t working.
As a Senior Software Engineer, you'll design and scale the systems behind our platform. You'll use AI to multiply your own output and the team's, and work directly with the product to turn customer problems into shipped features.
- Design reliable systems that process large volumes of customer warehouse data
- Use AI coding tools effectively by writing clear specs and context, running agents on parallel workstreams, and reviewing their output critically
- Build shared AI workflows, guardrails, and review standards that make everyone...
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