Sales Engineer

Industry-leading data orchestration and observability platform provider powered by Airflow, helping data teams build reliable data products.
$200,000 - $265,000
Data
Mid-Level Software Engineer
Remote
2+ years of experience
Enterprise SaaS

Description For Sales Engineer

Astronomer is seeking a Sales Engineer to join their globally-distributed team working on Astro, their data orchestration and observability platform. This role combines technical expertise with customer-facing responsibilities, requiring 2+ years of experience in the data space. You'll design proof-of-concept solutions, conduct technical demos, and contribute to the Apache Airflow community while working with cutting-edge technology. The position offers competitive compensation ($200K-$265K plus equity) and remote work flexibility. The ideal candidate will have strong data engineering knowledge, excellent communication skills, and a passion for solving complex technical challenges. You'll play a crucial role in helping customers implement powerful data workflows while contributing to product development through customer feedback. The company values diversity and provides comprehensive benefits including mentorship, training, and work-from-home support.

Last updated 2 months ago

Responsibilities For Sales Engineer

  • Design and implement proof-of-concept solutions
  • Conduct demos and provide technical guidance
  • Contribute to Apache Airflow community
  • Gather field insights and provide feedback to Product team
  • Work with customers to solve complex data challenges

Requirements For Sales Engineer

Python
  • 2+ years in Sales Engineering, Solutions Engineering, Consulting or similar role in data space
  • Familiarity with core data engineering concepts
  • Strong verbal and written communication skills
  • Genuine desire to understand customer needs
  • Eagerness to learn and experiment with new technical concepts

Benefits For Sales Engineer

Equity
  • Competitive benefits
  • Work-from-home stipend
  • Career development through mentorship and training
  • Flexible work arrangements
  • Equity component

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