Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to $51B annually by 2028, Keebo is an industry innovator,  as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more.

Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide.

About the Opportunity

We are hiring a Senior Software Engineer to build a new product providing automated query optimization for data warehouse use cases. You'll bring your expertise in database and query performance, and partner with product to quickly build and iterate on new features for customers. You'll be at the forefront of innovation in a fast-moving startup, using your research, prototyping, and query optimization skills to build cutting-edge products in the field of data warehouse performance.

You Will

  • Partner with product and work directly with customers to deeply understand customer needs with regards to query performance tuning and query cost optimization
  • Perform data-driven research to identify innovative solutions to solve customer pain points
  • Create tightly-scoped greenfield products and features, designed for fast iteration based on customer feedback
  • Build algorithms to automatically optimize queries for cost and performance

You Have

  • A PhD in database systems or a track record of working on products focusing on database internals and/or query optimization
  • Experience building scalable, reliable products and features, and desire to work in a fast-paced, startup-like environment
  • Track record of rapidly prototyping ideas and building MVPs for customer feedback
  • Experience using algorithm development for performance enhancing projects
  • Strong desire to partner with product to turn customer requirements into well-specified, technical work
  • Passion for mentoring engineers in database optimization knowledge and rapid delivery
  • Writes clean, high quality, well-documented, readable code, with good test coverage
  • Extensive familiarity with ETL pipelines, SQL, databases, data warehouses, and big data processing tools
  • Experience with object-oriented programming best practices
  • Skilled at communicating effectively in a distributed environment with people across multiple time zones
  • Ability to work in US Eastern time or Central European time
  • Extreme sense of ownership, from requirements gathering with product and customers all the way to running and monitoring production deployments and service reliability and scalability

Nice to Have

  • Prior experience at a startup
  • Familiarity with cloud technologies and tools on cloud platforms
  • Familiarity with modern CI/CD tools
  • Experience with Java, Python, and Golang

Our Environment

Keebo is a fully remote, global team with team members currently in the US, EU, and Canada.

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

  • Competitive salary packages
  • Equity
  • Home office stipend
  • Comprehensive medical, dental, and vision benefits
  • 401k retirement program
  • Annual company offsite (this year the team met up in Cancún, Mexico!)
  • Paid time off
  • Paid parental leave

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.

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:

  • Competitive salary packages
  • Equity
  • Home office stipend
  • Comprehensive medical, dental, and vision benefits
  • 401k retirement program
  • Annual company offsite (this year the team met up in Cancún, Mexico!)
  • Paid time off
  • Paid parental leave

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.

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