Director of Data
AirOps, New York, NY, United States
About AirOps
AirOps is the first end-to-end content engineering platform built for the AI era. In a world where discovery is shifting from traditional search to AI-driven platforms, we help brands get found-and stay found. We are currently in a phase of hyper-growth, having 5x'd our revenue in the last year by helping marketing teams at Ramp, Chime, Carta, and Rippling turn content quality into a durable competitive advantage.
Our platform equips marketers to navigate the new discovery landscape, prioritize high-impact opportunities, and create accurate, on-brand content that earns citations from AI and trust from humans. Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are building the intelligent systems that will empower the next generation of marketing leaders. AirOps is headquartered in San Francisco, New York and Montevideo.
The Opportunity
Data is core to what we do, from the ML systems that identify content opportunities to the customer-facing analytics that prove ROI. We're looking for a Director of Data to build and lead our Data function. You'll own data engineering, science, and analytics, working directly with founders and product leadership to shape how we use data across the platform.
Key Responsibilities Data Platform Own end-to-end data platform: batch and streaming pipelines ingesting from crawlers, integration APIs (e.g. Google Search Console, Google Analytics, CDN Logs), product analytics, and CRM Run the data warehouse with strong performance, cost management, and observability Implement orchestration, dbt transformations, data contracts, and automated testing Data Science & ML Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance Take models from research to production, optimizing for latency and cost at scale Analytics Deliver metrics that power dashboards, experiments, and customer-facing analytics Partner with Product and GTM teams on tracking plans and impact measurement Leadership Build and lead the data team: hire, mentor, and level up engineers and scientists Drive cross-functional projects and translate business requirements into technical solutions Qualifications
Required
8+ years in data roles with 3+ years leading teams Strong background in both data engineering and data science Expert SQL and Python; hands-on with dbt, Airflow/Prefect, Snowflake/BigQuery Track record building data products that directly impact business outcomes Preferred
Domain experience in marketing, ad tech, or growth experimentation Experience with LLM applications and AI agents Background in customer-facing analytics products Our Guiding Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Benefits Equity in a fast-growing startup Competitive benefits package tailored to your location Flexible time off policy Parental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!
AirOps is the first end-to-end content engineering platform built for the AI era. In a world where discovery is shifting from traditional search to AI-driven platforms, we help brands get found-and stay found. We are currently in a phase of hyper-growth, having 5x'd our revenue in the last year by helping marketing teams at Ramp, Chime, Carta, and Rippling turn content quality into a durable competitive advantage.
Our platform equips marketers to navigate the new discovery landscape, prioritize high-impact opportunities, and create accurate, on-brand content that earns citations from AI and trust from humans. Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are building the intelligent systems that will empower the next generation of marketing leaders. AirOps is headquartered in San Francisco, New York and Montevideo.
The Opportunity
Data is core to what we do, from the ML systems that identify content opportunities to the customer-facing analytics that prove ROI. We're looking for a Director of Data to build and lead our Data function. You'll own data engineering, science, and analytics, working directly with founders and product leadership to shape how we use data across the platform.
Key Responsibilities Data Platform Own end-to-end data platform: batch and streaming pipelines ingesting from crawlers, integration APIs (e.g. Google Search Console, Google Analytics, CDN Logs), product analytics, and CRM Run the data warehouse with strong performance, cost management, and observability Implement orchestration, dbt transformations, data contracts, and automated testing Data Science & ML Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance Take models from research to production, optimizing for latency and cost at scale Analytics Deliver metrics that power dashboards, experiments, and customer-facing analytics Partner with Product and GTM teams on tracking plans and impact measurement Leadership Build and lead the data team: hire, mentor, and level up engineers and scientists Drive cross-functional projects and translate business requirements into technical solutions Qualifications
Required
8+ years in data roles with 3+ years leading teams Strong background in both data engineering and data science Expert SQL and Python; hands-on with dbt, Airflow/Prefect, Snowflake/BigQuery Track record building data products that directly impact business outcomes Preferred
Domain experience in marketing, ad tech, or growth experimentation Experience with LLM applications and AI agents Background in customer-facing analytics products Our Guiding Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Benefits Equity in a fast-growing startup Competitive benefits package tailored to your location Flexible time off policy Parental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!