About AirOps

AirOps is the platform teams use to build scalable AI growth engines. With AirOps, teams launch AI workflows that use the best models, techniques, and data sources to drive profitable growth. All without a dev team.

Teams use AirOps to:

• Create automated content engines that generate organic traffic at scale
• Personalize landing pages for paid ads and lifecycle to drive improvements in CVR and ROAS
• Build and orchestrate AI workflows that improve CX and sales efficiency

Our founding team has owned growth, product, and engineering at MasterClass, Bungalow, and Teespring, driving over $1B in ARR growth. We’re backed by awesome investors, including Wing VC, Founder Collective, XFund, Village Global, and Alt Capital. We are a proudly global organization with team members located across the world, with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.

About the Role

We are looking for a project-based Data Analytics Engineer to build our first business analytics platform/dashboards. This will include leveraging your technical skills to integrate systems, create and measure key metrics (existing and new), and build relevant dashboards using our data warehouse and ETL tools. This role is ideal for a hands-on analytics engineer who can quickly structure data and make insights accessible across the company.

Key Responsibilities

• Centralize and define our core business metrics and KPIs from multiple data sources
• Build dashboards and reports to provide visibility into key business trends
• Optimize our data warehouse and ETL processes to support real time analytics
• Collaborate with stakeholders to understand reporting needs and translate them into actionable insights.