Enterprise Account Executive
AdaFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The role is hybrid, and team members located near an Astronomer office are expected to work onsite regularly, with periodic travel based on business and customer needs.
Candidates need 5+ years of sales experience (preferably in SaaS, data platforms, or cloud-based solutions), 2+ years of face-to-face field experience, a proven track record of meeting or exceeding sales quotas, exceptional communication and interpersonal skills, a self-starter attitude, and proficiency in CRM tools like Salesforce.
Astronomer values diverse and unconventional backgrounds, encourages applicants with non-traditional career paths, and fosters collaboration across sales, marketing, customer success, and product teams in a high-growth environment.
A strong candidate has the essential qualifications like 5+ years of sales experience and a track record of exceeding quotas, plus bonus qualifications such as experience selling in data orchestration or related fields; diverse or unconventional backgrounds are welcomed.
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.