Sales Engineer (DataOps, Airflow)

TL;DR

Sales Engineer (DataOps, Airflow): Lead the technical sales motion with discovery, demos, proof-of-concepts, and architecture discussions to help customers orchestrate, observe, and optimize data pipelines with an accent on Python-based tailored demos/POCs and DataOps strategies across orchestration, observability, and automation. Focus on translating customer pain into technical solutions tied to business value while influencing product feedback loops and go-to-market strategy.

Location: Chicago area (remote) with ~25% regional travel

Salary: $200,000–$250,000 (plus equity)

Company

hirify.global builds Astro, a unified DataOps platform powered by Apache Airflow.

What you will do

• Lead the technical sales motion in partnership with Account Executives, including discovery, demos, proof-of-concepts, and architecture discussions
• Translate customer pain into high-impact technical solutions tied to business value
• Build and deliver tailored demos and POCs using Python, Airflow, and related tools
• Guide customers on modern DataOps strategies from orchestration to observability and automation
• Collaborate cross-functionally to influence product feedback loops and contribute to go-to-market strategy

Requirements

• 3–10 years of total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
• Fluency in Python, comfort with the CLI, 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, and CI/CD
• Exposure to platforms such as Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
• Strong communication skills across technical and business stakeholders

Nice to have

• Experience with observability and Kubernetes, or helping teams scale modern data stacks

Culture & Benefits

• Remote work model with regional travel of approximately 25%
• Team values clarity, ownership, and high standards
• Startup-friendly environment with proactive, adaptable, fast-moving expectations
• Compensation includes estimated total cash range plus an equity component

Hiring process

• Technical interviews focused on customer-facing technical sales and DataOps/Airflow problem-solving
• Discussions to assess communication, stakeholder alignment, and collaboration