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Astronomer

Sales Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · New York City

Employer listed it 4 days ago · Found 10h ago

First listed 4 days ago and still open.

Salary

$200,000–$250,000

Location

Hybrid · New York City

Timezone

Not stated

Contract

Full-time

Experience

Senior

Category

Sales

Stated by the employer in the job description

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around New York City, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "New York City, Hybrid"
  • Listing mentions "Hybrid" and 2 days per week in the office

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

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. As a Sales Engineer at Astronomer, you’ll be a key partner to our prospects and customers, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll work with cutting-edge technology, help customers solve complex data challenges, and have a voice in influencing our product’s evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.

✈️ Location: The position requires regional travel of approximately 25%, aligned with business needs. We'll consider qualified candidates within reasonable commuting distance to New York City. You can expect to be in office or onsite at customer meetings approximately 2 days per week.

🎯 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-obsessed, 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 would possess:

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

Requirements

  • ·You’re technically sharp, customer-obsessed, 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 would possess:
  • ·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

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Astronomer, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 10h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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