Sales Engineer

Summary

Join Astronomer, a globally-distributed and rapidly growing venture-backed team of learners, innovators, and collaborators, as a Sales Engineer to guide clients in deploying powerful data workflows and influence product evolution through client feedback.

Requirements

• Experience and Expertise: 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau
• Data Engineering Know-How: Familiarity with core data engineering concepts such as orchestration, ELT, Git, and Role-Based Access Control (RBAC)
• Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences
• Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges
• Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry

Responsibilities

• Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production
• Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows
• Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration
• Influence Product Direction: Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform
• Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects

Benefits

• Competitive benefits
• Work-from-home stipend
• Opportunities to connect with a global community of innovators in data