GTM Recruiter
Sustainable Talent- Full Time
- Junior (1 to 2 years)
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world's leading enterprises, Astronomer lets businesses do more with their data.
Astronomer values diverse experiences and encourages applications from candidates with unconventional backgrounds.
We are seeking an experienced Senior Recruiter with a focus on both Go-To-Market (GTM) and technical roles. This includes hiring for functions like sales, marketing, customer success, as well as engineering, product, data, and hybrid roles such as solutions engineering, product marketing, and technical account management. In this role, you will lead the full recruitment cycle in a fast-paced environment, develop and implement effective sourcing strategies, build and refine internal recruitment processes, and partner strategically with hiring managers to attract top-tier talent that aligns with Astronomer’s mission and values.
Data orchestration platform for pipeline management
Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.