Head of Analytics

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 foundand 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. About the Role As Head of Analytics, you'll own the full analytics function at AirOpsGTM and revenue analytics, product analytics, and company-wide BI. You'll set the philosophy, build the infrastructure, and translate data into the decisions that shape how we grow. This is a hands-on role: you'll be in the data warehouse writing queries, building attribution models, and presenting to the exec teamoften in the same day. You'll be building the function from the ground up. What You'll Own GTM & Revenue Analytics Build and own the end-to-end reporting layer from lead to pipeline to cash, including executive dashboards surfacing pipeline velocity, conversion rates, CAC payback, and full-funnel attribution. Design and continuously improve a multi-touch attribution (MTA) framework and evaluate marketing mix modeling (MMM) approaches to drive accurate channel ROI and budget decisions. Serve as the analytics thought partner for leadershiptranslating GTM performance into clear recommendations on resource allocation and channel mix. Product Analytics Own product analytics end-to-end: define how we measure engagement, adoption, activation, retention, and expansion across the customer journey. Connect product usage signals to revenue outcomessurfacing leading indicators of expansion and churn risk that inform both product roadmap and GTM strategy. Analytics Strategy & Infrastructure Own the analytics philosophy across the businesssetting standards for how data is modeled, consumed, and acted upon across GTM, product, and operations. Lead the evolution of our BI infrastructure (Metabase ? Looker), work directly in Snowflake / BigQuery / Redshift, and partner with GTM, and Data Engineering to ensure clean instrumentation throughout the stack. What We're Looking For 6+ years in analytics at B2B SaaS companies, with hands-on experience across GTM, revenue, and product analyticsincluding building attribution infrastructure and product instrumentation from scratch. SQL mastery and direct experience in Snowflake, BigQuery, or Redshift; you pull from raw data without depending on other teams. Experience designing or significantly improving MTA and/or MMM frameworks, with the ability to tie methodology directly to pipeline and revenue outcomes. Hands-on BI development in Looker, HockeyStack, Tableau, or similar tools; proficiency across the modern GTM stack (HubSpot, GA4, Segment, Clay, HockeyStack). Ownership mentalityyou define success metrics, drive cross-functional projects to completion, and translate complex data into executive-ready narratives. Preferred Python or R for advanced modeling (cohort analysis, LTV, incrementality testing) Experience with dbt or similar data transformation tools Prior experience building an analytics function at a high-growth startup 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!

Created: 2026-03-10