February 2022 Summaries

Savannah Keener, a Recruiting team member at Tecton, shares her story of how she landed her job at the company. She initially started in engineering recruiting but later switched to recruiting for all roles outside of engineering. Savannah's background includes working in enterprise business sales and staffing for various companies, including startups. She found joy in recruiting for startups and eventually joined Tecton after meeting the team. Savannah is a fan of Gem, a sourcing tool that helps measure metrics and data around sourcing, and uses it to gather insights into hiring efforts at Tecton. In her free time, she enjoys taking walks through parks in San Francisco's Pac Heights neighborhood to relieve stress.

Tecton's feature platform is designed to make it easy to productionize feature pipelines, allowing data scientists and models running in production to consume polished features. The Tecton SDK integrates with Amazon SageMaker, enabling users to retrieve historical features for model training and serve features for online inference. This integration allows developers to build machine learning applications within the SageMaker environment, leveraging Tecton's production ML capabilities and flexibility to work with various ML frameworks. By connecting SageMaker to a Tecton-managed EMR cluster, users can access the Tecton SDK and start working with it, automating data exploration, model training, and serving features for real-time inference use cases.

Tecton's data engineering team has experienced significant growth, with a 5x increase in customers and a rise in demand for feature stores. The team joined forces with Feast, an open-source feature store, to provide users with both managed enterprise features and open-source options. Tecton's organizational structure combines vertical and horizontal teams on different missions, including the Spike Team focused on high-impact projects, Product Engineering responsible for user experience, Feast working on open-source development, and Platform Engineering & DevOps building a robust storage and compute foundation. The team prioritizes individual growth tracks, empathy for users, and distributed teams with hubs to maximize choice for new hires. With ambitious plans to grow the engineering team by 2-3x in 2022, Tecton seeks talented engineers to join its mission to bring ML intelligence to every production application.