Sales Engineer
Leads technical sales for DataOps platform, delivering demos, POCs, and architecture guidance using Python and Airflow. Requires 3+ years experience with 2+ in customer-facing roles, data workflows, and cloud platforms.
About the job
What You Get to Do
- 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
What you bring to the role
- 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
Bonus points if you have:
- Experience with observability, Kubernetes, or helping teams scale modern data stacks
Compensation
Estimated total compensation: $200,000 - $250,000, along with an equity component.
Skills
Python, Airflow, Docker, AWS, GCP, Azure, Snowflake, Databricks, BigQuery, dbt, Kubernetes, CI/CD
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