AI-native operating system for analytics teams
We’re on a mission to build the future of analytics infrastructure. Data teams use Turntable to build and maintain data pipelines that power every aspect of their organization from the finance department to operations.
The founding team has experience running data teams and building products at companies like Stripe, Pinterest, Twitter, Cruise, Reddit and Coinbase.
We’ve raised $3.2M from world-class investors.
The jobs of the last million data professionals will look different than the next million. Data is more vital to an organization than ever before but the majority of data tools are still too complex and hard to use.
We combine modern data warehousing technology, AI and a delightful user experience to craft what we believe will be a category-defining product.
If we are successful in our mission, we will change how organizations use data to develop products, run daily operations and plan for the future.
We are looking for a stellar full-stack engineer to join our engineering team. You’ll work directly with the co-founders and our early customers to help data teams around the world be more effective at working with their data.
This is a role that is strongly focused on product and you will often be designing new features from scratch that are brand new to the industry. Customer-facing product development experience is a big plus.
We offer competitive salary and equity as well as a slate of other benefits:
There is no shortage of interesting technical problems to solve in our space. We have years of work ahead of us and your time spent working with us will be on high-impact, customer-facing products.
Here’s a preview of some of the types of projects you can expect to work on:
At Turntable, we take inspiration from how some of the best engineering teams in the industry operate. We don’t shy away from adding in our own remixes as well.
Some examples of how we work
Our tech stack is always evolving. We don’t expect candidates be an expert at every part of our stack. Here are the highlights:
Artificial Intelligence
Backend
Frontend
Turntable (YC W23) enables less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics stack without hiring more engineers.
The founding team has experience building data and ML products at Stripe, Pinterest, Twitter, and Cruise. Justin led the commercial data science team at Cruise, Ian built ML and data tools at Pinterest and Stripe, and Wally led product for Twitter’s largest ML team, the Home Timeline.
At all of these companies, we encountered the same problem: data pipelines are too hard to build and maintain. Often business stakeholders who know SQL can unblock themselves if only the tooling was better.
The jobs of the last million data professionals will look different than the next million. Data is more vital to an organization than ever before but the majority of data tools are still too complex and hard to use.
We combine modern data warehousing technology, large language models and a delightful user experience to craft a category defining product.
We believe that if we are successful in our mission, we will change how organizations use data to develop products, run daily operations and plan for the future.