
Onehouse provides a managed, open-data lakehouse that lets teams ingest, transform, and query enterprise data with low latency and minimal operational overhead. It does this as a cloud-native, fully…

Onehouse provides a managed, open-data lakehouse that lets teams ingest, transform, and query enterprise data with low latency and minimal operational overhead. It does this as a cloud-native, fully…
Product: Managed, cloud-native open data lakehouse for ingestion, transformation, and low-latency queries
Founder: Vinoth Chandar (creator and PMC chair of Apache Hudi)
Founded: 2021
Total funding: USD 68,000,000
Latest round: Series B, USD 35M (Jun 26, 2024)
Data infrastructure for analytics and ML (lakehouse, ETL/ELT, query performance, data interoperability)
2021
Software Development
USD 8,000,000
USD 25,000,000
USD 35,000,000
“Participation from Greylock and Addition across rounds; Series B led by Craft Ventures”
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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.
The Impact You Will Drive:
A Typical Day:
What You Bring to the Table:
How We'll Take Care Of You
Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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