Full-Time
Posted on 5/2/2024
Data orchestration platform for pipeline management
No salary listed
Junior
Remote in Canada
This is a remote-first position at Astronomer, a globally-distributed team. The job location is not restricted to a specific geographic area, allowing for remote work from anywhere.
Astronomer.io offers a data orchestration platform that uses Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, allows businesses to manage and monitor their data flows, ensuring applications run with 100% uptime and providing over 1500 integrations. The platform enhances compute efficiency and reduces delays in task scheduling, resulting in a strong return on investment for clients. Astronomer's goal is to empower organizations to optimize their data strategies and improve their overall data management capabilities.
Company Size
201-500
Company Stage
Series D
Total Funding
$373.8M
Headquarters
Cincinnati, Ohio
Founded
2018
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Remote Work Options
Company Equity
Astronomer has secured $93 million in Series D funding led by Bain Capital Ventures, with participation from Salesforce Ventures and existing investors. Bosch Ventures is also seeking to join. The funding will support global expansion and R&D for Astronomer's unified DataOps platform, Astro. The company reported 150%+ YoY ARR growth and aims for profitability in two years, with 90%+ product utilization.
PRESS RELEASE - Astronomer, the company behind Astro, the leading unified DataOps platform powered by Apache Airflow(R), announced it has secured $93 million in Series D funding led by Bain Capital Ventures, alongside Salesforce Ventures and existing investors including Insight, Meritech, and Venrock, with Bosch Ventures seeking to participate.
Astronomer has secured $93 million in Series D funding to develop a unified DataOps platform for enterprise AI.
Astronomer, the developer of data orchestration platform Astro, locked up a $93 million Series D led by Bain Capital Ventures.
Astronomer secures $93 million in Series D funding to solve the AI implementation gap through data orchestration, helping enterprises streamline complex workflows and operationalize AI initiatives at scale.