---
title: 'Sales Engineer at Astronomer'
canonical: 'https://feeny.ai/job/sales-engineer-astronomer-new-york-93rvbfczwtbg'
type: 'job'
last_seen: '2026-09-11'
---

# Sales Engineer at Astronomer

- **Company:** Astronomer
- **Location:** New York, NY
- **Compensation:** $200k–$250k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-07-30
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/astronomer/3e3be48c-ccf0-4a39-9eb2-03a896787999/application

**Skills:** Python, CLI, Docker, AWS, GCP, Azure, Airflow, DataOps, ELT/ETL, DAGs, CI/CD, Observability, Kubernetes, Snowflake, Databricks, BigQuery, dbt

> Lead technical sales motions for data teams, partnering with Account Executives to drive discovery, demos, and proof-of-concepts for Apache Airflow-based DataOps solutions. The role involves building tailored demos, guiding customers through DataOps strategies, and influencing product feedback loops.

## Job description

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](http://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 work location for this role is based in our New York office and follows a hybrid work model. 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-Hybrid

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.

## About Astronomer

## Company Overview
- **One-liner**: Astronomer provides the leading enterprise platform for Apache Airflow, enabling organizations to build, run, and observe mission-critical data pipelines for analytics, AI, and agentic workflows.
- **Entity Type**: Private (funded, Series C)
- **Headquarters**: New York, New York, United States (global team across 4 continents, 20+ countries)
- **Founded**: 2018
- **Founders**: Not publicly listed on primary sources (founded by a team of Airflow experts)

## Core Business
- **Primary Industry/Industries**: Data infrastructure, data orchestration, AI infrastructure
- **Target Customers**: B2B, Enterprise (Fortune 500 companies including Visa, Datadog, American Express, Expedia; 900+ enterprises total)
- **Mission/Purpose**: To build the infrastructure layer that powers the agentic era, making production-grade data orchestration scalable and observable for the world's leading enterprises.

## Products & Services
- **Astro (The Astro Platform)**: A unified enterprise platform for Apache Airflow. Includes a hardened runtime, an agent-based executor (Astro Executor), and an optimization layer for managing health and resources across any major cloud. Features include zero-downtime upgrades, deployments as code (GitOps), native data observability, and AI-powered root cause analysis.
- **Otto**: An AI agent built specifically for Apache Airflow. It writes DAGs, investigates failures, plans upgrades, and learns from a team's private memory and Astronomer's proprietary expertise.
- **Astro CLI & Astro IDE**: Tools for local and remote development, allowing teams to run Airflow locally or develop in a browser with no setup overhead.
- **Astronomer's Open Source Stewardship**: The company is the commercial steward of Apache Airflow, with 10 PMC members on staff and having driven every Airflow release since 2018.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (Private company)
- **Key Metric**: Total Funding of $379.5M across 17 rounds; Annual Revenue of $35.0M (estimated by third-party data).
- **Notable Investors/Partners**: Investors include Insight Partners, Redpoint, and others (specific lead investors for Series C not detailed in search results). Key customers include Visa, Datadog, American Express, and Expedia.
- **Growth Signals**: 900+ enterprise customers; 80K+ organizations use Apache Airflow globally; headcount grew +1181.9% year-over-year to 445 employees; 30M+ monthly downloads of Airflow; 22 open roles as of the search date.

## Competitive Advantages
- **Deep Airflow Expertise**: Astronomer is the commercial steward of Apache Airflow, with 10 PMC members and a history of driving every major release since 2018. This gives them unparalleled insight and influence over the core technology.
- **Purpose-Built for Enterprise**: Astro is the only platform built specifically for Airflow at scale, offering features like zero-downtime upgrades, a hardened runtime, and an agent-based executor that handles higher concurrency and automatic failure recovery.
- **AI-Native Orchestration**: Their product Otto is the only AI agent built for Airflow, and their infrastructure is designed to support production-grade AI and agentic workflows, not just data pipelines.
- **Native Observability**: Integrated data observability, task-level lineage, and AI-powered root cause analysis eliminate the need for separate monitoring tools.

## Strategic Focus
- **Agentic Era Infrastructure**: Astronomer is pivoting to become the "orchestration layer for the agentic era," believing that every AI initiative depends on reliable data pipelines. They are building the context layer that allows enterprises to run agentic AI in production.
- **Continued Airflow Innovation**: They remain committed to advancing Apache Airflow as the industry standard for orchestration, while simultaneously building proprietary features (like Otto) on top.
- **Global Expansion & Hiring**: With a globally distributed team and 22 open roles, they are aggressively hiring across engineering, sales, and GTM to capture the growing demand for AI-driven data orchestration.

## Why Work Here
- **High-Impact Work**: "Every Fortune 500 AI initiative, every real-time analytics platform, every decision-making system that matters — it all starts with pipelines." Employees work on infrastructure that powers the world's most critical data and AI systems.
- **Open Source Leadership**: As stewards of Apache Airflow, engineers contribute to a project used by millions of developers and 80K+ organizations.
- **Collaborative Culture**: "Engineering, product, sales, marketing, and customer success operate as one team. Handoff culture doesn't exist here." The company emphasizes collaboration without politics.
- **Work Environment**: HQ in NYC with offices globally. Some roles are in-office, others are flexible. The team is distributed across 4 continents and 20+ countries.
- **Perks**: Top-tier health coverage (little to no cost), unlimited PTO (with a stated culture of actually using it), generous parental leave, annual wellness day off, wellness programs, and disability/life insurance.
- **Engineering Culture**: The engineering team focuses on reliability, iterative shipping, and writing about hard problems. They build infrastructure, tooling, and platform features for production-grade data orchestration.

## Sources
1. [astronomer.io](https://www.astronomer.io/)
2. [astronomer.io/about-us](https://www.astronomer.io/about-us/)
3. [astronomer.io/careers](https://www.astronomer.io/careers/)
4. [linkedin.com/company/astronomer](https://www.linkedin.com/company/astronomer)
5. [jobs.ashbyhq.com/astronomer](https://jobs.ashbyhq.com/astronomer)

## Other roles at Astronomer

- [Customer Reliability Engineer (Airflow)](https://feeny.ai/job/customer-reliability-engineer-airflow-astronomer-united-states-1w670pzygeqd) — United States
- [Enterprise Account Executive, (San Francisco Bay Area remote)](https://feeny.ai/job/enterprise-account-executive-san-francisco-bay-area-remote-astronomer-united-ftq02dad1mwy) — United States
- [Senior Customer Reliability Engineer, Infrastructure - Hyderabad, India](https://feeny.ai/job/senior-customer-reliability-engineer-infrastructure-hyderabad-india-astronomer-d7xvsbk3bj61) — Hyderabad, India
- [Senior Software Engineer - Build, NYC](https://feeny.ai/job/senior-software-engineer-build-nyc-astronomer-new-york-7b4c04fsm35e) — New York, NY
- [Sales Development Representative (London - hybrid)](https://feeny.ai/job/sales-development-representative-london-hybrid-astronomer-london-rqbskw7zx961) — London, United Kingdom
- [Senior Software Engineer, Core Platform](https://feeny.ai/job/senior-software-engineer-core-platform-astronomer-new-york-fchfq15nsq89) — New York, NY
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-astronomer-munich-5txn9fa0kphx) — Munich, Germany
- [Strategic Account Executive - (Bay Area/So. Cal)](https://feeny.ai/job/strategic-account-executive-bay-area-so-cal-astronomer-bay-area-77cjbzbwbcmr) — Bay Area
- [Principal Software Engineer](https://feeny.ai/job/principal-software-engineer-astronomer-new-york-qv5ba75rw9k5) — New York, NY
- [Service Delivery Manager](https://feeny.ai/job/service-delivery-manager-astronomer-new-york-75vhxa9ydgmh) — New York, NY