Sales Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Spearhead the technical sales process in collaboration with Account Executives, including discovery sessions, demonstrations, proof-of-concepts, and architectural discussions.

• Comprehend customer challenges and translate them into impactful technical solutions that align with business objectives.

• Create and present customized demonstrations and proof-of-concepts utilizing Python, Airflow, and associated tools.

• Assist customers in adopting modern DataOps strategies, encompassing orchestration, observability, and automation.

• Shape product feedback cycles, work collaboratively across departments, and aid in the go-to-market strategy.

⛳️ Requirements

• Proficiency in Python, comfort with command-line interfaces, and experience with tools such as Docker.

• Familiarity with cloud-native data architectures, specifically AWS, GCP, or Azure.

• Knowledge of data engineering workflows, including orchestration, ELT/ETL processes, DAGs, and CI/CD methodologies.

• Experience with platforms such as Airflow, Snowflake, Databricks, BigQuery, dbt, or equivalent technologies.

• 3 to 10 years of overall experience, with a minimum of 2 years in a customer-facing technical role (e.g., Sales Engineering, Solutions Architect).

• Excellent communication skills that bridge technical and business stakeholders.

• A startup-friendly attitude: proactive, adaptable, and quick to respond.

🏝️ Benefits

• We are shaping the DataOps layer of the contemporary data stack, focusing on more than just orchestration.

• Airflow is becoming the standard - we are enhancing its enterprise readiness, security, and scalability.

• Supported by leading investors and trusted by organizations at the forefront of data.

• Join a team that prioritizes clarity, ownership, and high standards, all while maintaining a humble approach.