Director of Data

AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality.

Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts.

AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo.

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.

• 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

• 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

• Deliver metrics that power dashboards, experiments, and customer-facing analytics

• Partner with Product and GTM teams on tracking plans and impact measurement

• 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

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

1. Extreme Ownership

2. Quality

3. Curiosity and Play

4. Make Our Customers Heroes

5. Respectful Candor

• 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!