
Enterprise Account Executive at Astronomer (Munich, Germany)
Astronomer· Munich, Germany·
Role details
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.
About this Role: We are looking for a motivated Enterprise Account Executive to join our growing sales team. This is a hunting role where you will open new doors, create opportunities, and lead the full sales cycle from prospecting to close. At the same time, you will be part of a collaborative culture where wins are celebrated together and teammates share knowledge and support. You will play a critical role in expanding our customer base and helping shape the future of data. This role includes some travel to meet with customers and teammates.
What You Get to Do:
- Drive growth together: Lead the full sales cycle from prospecting to close while partnering closely with clients and teammates.
- Prospect strategically: Identify, qualify, and pursue opportunities through outbound and inbound channels.
- Position solutions: Deliver compelling demonstrations and craft tailored proposals that align with customer goals.
- Partner with teammates: Collaborate with marketing, sales engineering, and product to ensure a smooth handoff and long-term success.
- Stay informed: Keep current on industry trends and competitive offerings to position Astro as the leading solution.
What You Bring to the Role:
- 5+ years of sales experience, ideally in SaaS, data platforms, or cloud solutions.
- 3+ years of field experience with in-person customer engagement.
- Proven success running complex enterprise sales cycles in data infrastructure, developer tooling, or adjacent technical domains selling to engineering, data, or platform teams.
- A history of consistent success in meeting or exceeding new business quotas in high-growth environments.
- Comfort with data orchestration, analytics, or related technologies is a plus.
- Excellent communication skills with the ability to build trust and influence senior stakeholders.
- MEDDIC and/or Command of the Message experience
- A proactive mindset with perseverance and accountability.
- Proficiency in CRM tools (Salesforce) and sales enablement platforms.
Bonus Points If You Have:
- Experience selling to data teams, developers, or technical buyers.
- Background in data orchestration or Airflow-related technologies.
- Prior success in a startup or high-growth environment.
#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.
Why work at Astronomer
- 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.