Help us build the future of enterprise ML


Software Engineer, Full Stack

United States, Remote

About Tecton

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.

As a member of Tecton's engineering team, you will play a critical role in designing, building and scaling our platform. You will leverage your breadth of experience and keen product sense to work on a number of critical projects.

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.

Role & Responsibilities

  • Scaling backend systems and developing SDKs and APIs
  • Working with frontend team to build Tecton's product interfaces
  • Collaborating with a cross functional team, including design, product management, and other engineering teams
  • Contributing to improving engineering practices, tooling and processes
  • Developing a deep understanding of the fundamental problems our customers face in building ML systems
  • Collaborating with a cross-functional team, including design, product management, solutions architects, and other engineering teams
  • Constantly improving engineering tooling, processes, and practices

Preferred Qualifications

  • Prior experience with machine learning is not required. We are looking for exceptional software engineers who are driven to find simple solutions to complex problems and who are excited to stretch themselves as part of a growing team at the intersection of systems, data, and machine learning.
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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​