Sales Engineer

• 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
• 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

• 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
• 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)
• Strong communication skills across technical and business stakeholders
• Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
• Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
• Startup-friendly mindset: proactive, adaptable, fast-moving
• Experience with observability, Kubernetes, or helping teams scale modern data stacks