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.
The Product Engineering team owns every surface of Tecton that users interact with. The team is focused on crafting a fantastic experience for users of the product, ranging from data scientists to ML infrastructure teams. The team's success is tied to enabling new and novel feature engineering use cases with elegant APIs and interfaces, combined with functionality that's needed for ML to be adopted at scale within organizations.
As an Engineering Manager on the Product Engineering team, you will lead a team of 3-6 engineers with plenty of opportunities to grow with the company. We are looking for ambitious and empathetic engineering leaders that thrive in startup environments in which no day looks like the other.