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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonDockerDataOpsorchestrationELTETLCI/CDDAGsAirflowSnowflake

Soft Skills

communicationproactiveadaptablecollaborationinfluencecustomer-facingproblem-solvingtechnical salespresentationcross-functional