Sales Engineer (EMEA)

• 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
• 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

Benefits

• Remote friendly, work from anywhere
• If you’re in a city with an office, it’s there (and stocked with snacks) when you need it
• Co-workers in over 40 states and 15 countries around the world
• Health, dental, and vision insurance at little to no cost for individuals, and at competitive rates for your dependents
• Disability and life insurance policies in case something happens
• Unlimited vacation - we do track vacation days and actively encourage people to take it (on average, Astronomers take 20 days of vacation per year)
• Parental leave
• Laptop of your choice, and a stipend to help with your work-from-home setup
• Monthly $170 pre-tax stipend intended to cover your cellphone and WiFi bills
• Yearly internal summit for all employees
• Regular access to conferences, workshops, and meetups in the ecosystem

• Strong communication skills across technical and business stakeholders
• 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
• Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
• 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:
• Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
• Python fluency, CLI comfort, and experience building with tools like Docker
• Startup-friendly mindset: proactive, adaptable, fast-moving
• Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
• Business level French language skills
• Experience with observability, Kubernetes, or helping teams scale modern data stacks