Sales Engineer
| Company | MotherDuck |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA |
| Salary | $120000 – $220000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of experience as a data engineer, analytics engineer, or similar, with hands-on skills in SQL, Python, and cloud-native data tooling.
- 2+ years in a pre-sales or solutions engineering role, ideally in the data or analytics space.
- Experience with tools like BigQuery, Snowflake, dbt, Airflow.
- Strong grasp of data warehouse architecture, performance optimization, and data modeling.
Responsibilities
- Partner with Account Executives to lead the technical side of sales, from discovery through to technical win.
- Design elegant data architectures using DuckDB, MotherDuck, and the modern data stack—always with simplicity and performance in mind.
- Create and deliver tailored demos and proof-of-concepts that really get customers flapping with excitement.
- Translate business needs into scalable, cost-effective, and delightful technical solutions.
- Work cross-functionally with Product and Engineering to bring customer feedback to the nest and shape the roadmap.
- Be a trusted technical advisor, helping customers navigate their journey with MotherDuck from pilot to production.
Preferred Qualifications
- Experience with DuckDB and/or MotherDuck (or at least a strong curiosity to learn and dive deep).
- Experience working with large-scale enterprise customers or in a fast-paced startup environment.
- You know the ins and outs of ETL/ELT, columnar formats, and distributed query engines.