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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.
About the Opportunity
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.
You Will
You Have
Bonus Points
Compensation and Location
The base salary is $170,000 to $200,000 for US-based candidates, plus equity. The role is fully remote and open to candidates living in the United States with authorization to work there. Visa support will not be provided. Core hours align with US Eastern Time.
What we Offer
Working with a world-class team of researchers and engineers in machine learning to turn Al algorithms into scalable and automated cloud products
For full-time positions:
Identity Verification
We verify every candidate's identity and location through on-camera interviews, ID verification, and a background check. Equipment ships only to your verified address. Misrepresenting your identity, location, or work history ends your candidacy or employment. Keebo complies with US sanctions and export control laws.
Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.
