Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company. 

Tecton believes that companies need a new kind of data platform built for the unique requirements of ML. The company's goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.

Developer Tools

Software

Tecton

Tecton's headquarters in San Francisco, CA, United States

Mike Del Balso

Krish R.

Trudy Whong

Jingjing Wang

Rachelle Kulak

Justin Epstein

Martin Casado

The Engineering team at Tecton designs, develops, and maintains the company’s enterprise-ready feature store, ensuring it meets the unique requirements of machine learning workloads. The team focuses on creating scalable, reliable, and efficient systems to enable ML teams to quickly and effectively build, serve, and manage high-quality features for production. They collaborate closely to push the boundaries of ML data platforms, driving innovation and helping to deliver better business outcomes through improved model performance.

Engineering

The Leadership Team at Tecton is responsible for shaping the strategic vision and direction of the company, ensuring that the enterprise-ready feature store meets the evolving needs of machine learning teams. Comprising top executives from finance, sales, and technology, they drive key initiatives, foster collaboration across departments, and position Tecton as a leader in the ML data platform space. Their collective expertise is vital in steering the company towards delivering impactful solutions that accelerate the deployment of machine learning models at scale.

Leadership Team

The Recruiting and Talent Team at Tecton is responsible for identifying, attracting, and securing top-tier talent to support the company’s mission of making world-class machine learning accessible. They manage the end-to-end recruitment process, streamline hiring operations, and partner with various departments to ensure a seamless candidate experience. Additionally, this team plays a key role in talent sourcing, assessment, and onboarding to build a robust and innovative workforce aligned with Tecton's goals.

Recruiting and Talent Team

The Sales and Marketing team at Tecton is responsible for driving revenue growth and market penetration for the company's feature store platform. This includes identifying and nurturing potential clients, developing and executing strategic sales initiatives, and creating compelling marketing campaigns. The team works collaboratively to build brand awareness, generate demand, and support customer acquisition and retention. Through events, account management, and innovative marketing strategies, they aim to accelerate the adoption of Tecton's solutions and cultivate lasting customer relationships.

Sales and Marketing

The Product Management team at Tecton is responsible for defining product vision, strategy, and roadmap in alignment with the company’s goal of making world-class machine learning accessible to every company. They work closely with cross-functional teams to identify customer needs, prioritize features, and ensure timely and successful product launches. By bridging the gap between technical and business strategies, they play a crucial role in delivering a robust ML data platform that drives impactful business outcomes.

Tecton

Org chart

Board & advisors

Teams

Engineering

Leadership Team

Recruiting and Talent Team

Sales and Marketing

Product Management

Offices

Tecton

Org chart

Board & advisors

Teams

Engineering

Leadership Team

Recruiting and Talent Team

Sales and Marketing

Product Management

Offices

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