Enterprise Account Executive (US)

About Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. As a part of the early sales team in a category-defining, well-funded SaaS startup, you will have the opportunity to build out the initial sales pipeline in a multi-billion dollar market. You will work alongside world-class marketing, product and engineering talent, that have created industry-wide impact several times over in the data space. There is a huge surface area for growth and impact, from understanding the emerging Lakehouse technology and product landscape to building the sales strategy around a large, successful open source project. You will be challenged to deeply understand data architecture and the key role Apache Hudi plays in some of the biggest enterprises in the world, then articulate the value proposition of the Onehouse managed service to potential customers. You will set up best operational practices around pipeline generation, engagement, conversion, and support a data-driven culture for future pipeline growth and expansion.