Full-Time

Enterprise Account Executive

Updated on 3/14/2025

Astronomer

Astronomer

201-500 employees

Data orchestration platform for pipeline management

Compensation Overview

$260k - $300kAnnually

Senior, Expert

Boston, MA, USA

This is a hybrid role, indicating that some in-office presence is required.

Category
Field Sales
Sales & Account Management
Required Skills
Sales
Salesforce
Marketing
Data Analysis
Requirements
  • 5+ years of sales experience, preferably in SaaS, data platforms, or cloud-based solutions.
  • 2+ years of face-to-face field experience
  • A proven track record of meeting or exceeding sales quotas in high-growth environments.
  • Strong understanding of data orchestration, analytics, and related technologies is a plus.
  • Exceptional communication and interpersonal skills, with the ability to build trust and rapport with diverse stakeholders.
  • Self-starter attitude with a high level of drive and accountability.
  • Proficiency in CRM tools (e.g., Salesforce) and sales enablement platforms.
Responsibilities
  • Own and exceed revenue targets through full-cycle sales, from prospecting to deal closure.
  • Build strong relationships with prospective clients, understand their challenges, and articulate how Astro can solve their needs.
  • Identify and qualify new opportunities by leveraging outbound techniques and engaging inbound leads.
  • Deliver compelling product demonstrations and craft tailored proposals that align with the customer’s goals.
  • Work closely with internal teams, including marketing, customer success, and product development, to ensure customer satisfaction and seamless onboarding.
  • Stay informed about industry trends, competitive offerings, and emerging technologies to better position Astro as a leading solution.
Desired Qualifications
  • Experience selling to data teams, developers, or technical stakeholders.
  • Background in data orchestration or Airflow-related technologies.
  • Prior success in a startup or high-growth company environment.

Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, tools for monitoring pipeline health, and the ability to upgrade Airflow without downtime. The company's goal is to enhance compute efficiency and reduce delays in task scheduling, ultimately providing a strong return on investment for its clients.

Company Size

201-500

Company Stage

Series C

Total Funding

$272.1M

Headquarters

Cincinnati, Ohio

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Astronomer's revenue grew 206% in H1 2023, driven by demand for data orchestration.
  • Astro's integration with Azure expands its reach to a vast customer base.
  • The launch of Astro Observe enhances data workflow monitoring and troubleshooting capabilities.

What critics are saying

  • Increased competition from similar data orchestration platforms may erode Astronomer's market share.
  • Dependency on Apache Airflow's community could misalign with Astronomer's business needs.
  • Potential security vulnerabilities in Apache Airflow could impact Astronomer's enterprise clients.

What makes Astronomer unique

  • Astronomer offers Astro, a platform powered by Apache Airflow for data orchestration.
  • Astro provides real-time alerts and zero downtime upgrades for seamless data pipeline management.
  • Astronomer's Astro integrates over 1500 tools, enhancing data unification across clouds and teams.

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Benefits

Remote Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-8%
IBM
Mar 12th, 2025
IBM collaborates with Astronomer to strengthen Apache Airflow's robustness within enterprises

IBM collaborates with Astronomer to strengthen Apache Airflow's robustness within enterprises.

VentureBeat
Feb 13th, 2025
Ai’S Biggest Obstacle? Data Reliability. Astronomer’S New Platform Tackles The Challenge

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Astronomer, the company behind Apache Airflow orchestration software, launched Astro Observe today, marking its expansion from a single-product company into the competitive data operations platform market. The move comes as enterprises struggle to operationalize their AI initiatives and maintain reliable data pipelines at scale.The new platform aims to help organizations monitor and troubleshoot their data workflows more effectively by combining orchestration and observability capabilities in a single solution. This consolidation could significantly reduce the complexity that many companies face when managing their data infrastructure.“Previously, our customers would have to come to us for orchestration data pipelines, and they’d have to go figure out a different data observability and Airflow observability vendor,” said Julian LaNeve, CTO of Astronomer, in an interview with VentureBeat. “We’re trying to make that a lot easier for our customers and give them everything in one platform.”AI-powered predictive analytics aims to prevent pipeline failuresA key differentiator of Astro Observe is its ability to predict potential pipeline failures before they impact business operations

Blockchain News
Oct 29th, 2024
Anyscale and Astronomer Collaborate to Enhance Scalable Machine Learning

This partnership allows organizations to effectively manage and scale their ML workflows by integrating Astronomer's workflow management capabilities with Anyscale's distributed computing power.

VentureBeat
Aug 15th, 2024
Do You Know Where Your Data Comes From? Apache Airflow Does And It’S Getting Updated To Advance Data Orchestration

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Getting data from where it is created to where it can be used effectively for data analytics and AI isn’t always a straight line. It’s the job of data orchestration technology like the open-source Apache Airflow project to help enable a data pipeline that gets data where it needs to be.Today the Apache Airflow project is set to release its 2.10 update, marking the project’s first major update since the Airflow 2.9 release back in April. Airflow 2.10 introduces hybrid execution, allowing organizations to optimize resource allocation across diverse workloads, from simple SQL queries to compute-intensive machine learning (ML) tasks. Enhanced lineage capabilities provide better visibility into data flows, crucial for governance and compliance

Artificial Intelligence News
May 8th, 2024
Accelerating ML application development: Production-ready Airflow integrations with critical AI tools

To support these new use-cases and to provide a starting point for Airflow users, Astronomer has worked with the Airflow Community to create Ask Astro-as a public reference implementation of RAG with Airflow for conversational AI.