AirOps Inc
About AirOps
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.
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!
#J-18808-Ljbffr
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.
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!
#J-18808-Ljbffr