At Tecton, we are building an enterprise Feature Store
that is transforming the way companies solve real-world problems with machine learning at scale. Our founding team created Uber's Michelangelo ML Platform
, which has become the blueprint for modern ML platforms in large organizations. We recently received Series B funding
from Sequoia Capital and Andreessen Horowitz, have paying enterprise customers, and have growing teams in SF and NYC. The team has years of experience building and operating business-critical machine learning systems at scale at places like Uber, Google, Facebook, Airbnb, Twitter, and Quora.
DevOps infrastructure is a critical component of Tecton's ability to reliably deploy the product to our growing customer base. Tecton's ability to build infrastructure that's easily deployed for many different customers and seamlessly integrated into their cloud environments is critical to maintain product and engineering velocity. Our team's expertise in building robust pipelines and CI/CD infrastructure originates from experience at top tech companies such as Google, Facebook, and Uber.
As a critical member of Tecton's fast-growing engineering team, you will help lay the foundation for scaling Tecton to the next generation of customers. You'll be at the intersection of engineering, design, and operational processes.
This position is open to candidates based anywhere in the United States. You have the opportunity to work in one of our hub offices in San Francisco or New York City, or to work fully-remote from outside those areas within the US.