Astronomer

Sales Engineer

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize their data pipelines with confidence.
The position requires regional travel of approximately 25%, aligned with business needs.
What You Get to Do:
Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions

Understand customer pain and translate it into high-impact technical solutions tied to business value

Build and deliver tailored demos and POCs using Python, Airflow, and related tools

Guide customers through modern DataOps strategies - from orchestration to observability and automation

Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

What you bring to the role:
You’re technically sharp, customer-oriented, and energized by solving real problems with data teams. We’re not looking for a perfect checklist match - but here’s what a strong candidate might bring:
Python fluency, CLI comfort, and experience building with tools like Docker

Familiarity with cloud-native data architectures (AWS, GCP, or Azure)

Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD

Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar

3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)

Strong communication skills across technical and business stakeholders

Startup-friendly mindset: proactive, adaptable, fast-moving

Bonus points if you have:
Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Why Astronomer?
We’re defining the DataOps layer of the modern data stack - not just orchestration

Airflow is the standard - we’re making it enterprise-ready, secure, and scalable

Backed by top-tier investors and trusted by data-forward organizations

You’ll work with a team that values clarity, ownership, and high standards - without ego

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Fulltime
#LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Python Remote Collaboration Sales remote

Likely questions

  1. Tell us about work you have done that is close to the Sales Engineer role.
  2. How would you approach your first 30 days at Astronomer?
  3. Which of Data Analysis, Python and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Sales Engineer role because I can bring practical experience in Data Analysis, Python and Remote Collaboration, learn the team quickly, and contribute to the outcomes Astronomer needs from this hire.

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