Enterprise Account Executive

January 9

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Tecton

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The feature platform for machine learning, from the creators of Uber Michelangelo.

Machine Learning • Data Science • Feature Store • Data Engineering • Artificial Intelligence

11 - 50

Description

At Tecton, we are on a mission to bring Machine Learning to every customer and product interaction on the planet. We build an enterprise-grade, world-class Feature Platform – the infrastructure that powers real-time ML applications and systems in production. Tecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.

Requirements

• 5+ years of experience in a technical sales capacity focused on a product-led, bottoms up GTM motion for mission-critical data systems (databases, data warehouses), big data systems, analytics, and/or machine learning • Deep technical understanding: Thorough understanding of data and ML tooling, workflows, and industry trends • Proven track record of exceeding sales quotas • Driven and competitive • Excellent customer relationship builder • Strong presenter and communicator

Benefits

• Competitive base salary range: $136,500 - $163,500 annually for employees based within California & New York • Commission Plan participation • Estimated total on-target annual earnings: $273,000 - $327,000 OTE • Competitive equity • Comprehensive benefits package including medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays per year, sick time, leave of absence as per FMLA and other relevant leave laws • Compensation packages based on location, level, role scope, complexity, skills, experience, and expertise