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About
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 Requirements:
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 Benefits:
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
Languages
- English
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