About the job
Join AirOps as the Head of Analytics
At AirOps, we are pioneering the future of content engineering in the AI era. Our innovative platform transforms the way brands are discovered, moving beyond traditional search methods to leverage AI-driven insights. We have experienced remarkable growth, increasing our revenue fivefold in just one year by empowering renowned marketing teams at Ramp, Chime, Carta, and Rippling to create high-quality content that establishes a lasting competitive edge.
Our platform is designed to help marketers thrive in the evolving landscape of content discovery, enabling them to seize high-impact opportunities and generate precise, brand-aligned content that gains recognition from AI and trust from users. With the backing of esteemed investors like Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are on a mission to build intelligent systems that will empower the next generation of marketing leaders. AirOps has offices in San Francisco, New York, and Montevideo.
Your Role
As the Head of Analytics, you will lead the analytics function at AirOps, encompassing go-to-market (GTM) analytics, revenue analytics, product analytics, and company-wide business intelligence (BI). This hands-on position requires you to set the strategic direction, develop the necessary infrastructure, and translate complex data into actionable insights that will drive our growth trajectory. You'll dive deep into our data warehouse, writing SQL queries, developing attribution models, and presenting findings to the executive team, often within the same day. This is a unique opportunity to build the analytics function from the ground up.
Your Responsibilities
GTM & Revenue Analytics
- Design and manage comprehensive reporting systems that track the journey from lead generation to revenue realization, including executive dashboards that highlight key metrics such as pipeline velocity, conversion rates, customer acquisition cost (CAC) payback, and full-funnel attribution.
- Continuously enhance a multi-touch attribution (MTA) framework and assess marketing mix modeling (MMM) strategies to ensure precise channel ROI and informed budget decisions.
- Act as a strategic analytics partner for leadership, converting GTM performance data into clear recommendations for resource allocation and channel strategy.
Product Analytics
- Oversee product analytics end-to-end, establishing metrics for engagement, adoption, activation, retention, and expansion throughout the customer journey.
- Link product usage data to revenue outcomes, identifying indicators of potential expansion and churn risks that will inform product development and GTM strategies.
Analytics Strategy & Infrastructure
- Lead the development of analytics strategies and infrastructure to support data-driven decision-making across the organization.
