Marketing Analytics Director | United States | Remote

Overview

Lead the evolution of Grafana Labs' marketing data stack and raise the analytical rigor of the marketing organization, as a builder-practitioner at the intersection of Data Science, Marketing Strategy, GTM and AI Operations.

What you'll do

• Serve as the primary strategic partner to GTM Leadership (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth.
• Architect and own a forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention.
• Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels.
• Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints.
• Perform causal inference and predictive trend analysis, isolating anomalies such as spikes, regional dips or overperforming campaigns.
• Transform technical data outputs into clear, compelling narratives for the executive team and board.
• Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue.
• Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies.
• Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively.

What you'll need

• 8+ years in Marketing Analytics, GTM Strategy, or Data Science.
• At least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment.
• Demonstrated history as a force multiplier, with specific tooling, rituals, evaluator systems, or frameworks built that made other analysts or the broader org measurably better.
• Mastery of SQL and Python.
• Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
• Hands-on AI fluency as a builder: built and shipped agentic systems with Claude Code, MCP, or comparable tools; understand where LLMs fail and how to design around those limitations; built evaluator agents, prompt-grading systems, or analytical quality tooling in production.
• Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
• Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards.
• Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch.
• Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
• Executive presence with experience presenting to executive and board audiences, including judgment about what data is ready to share up the chain.

Nice to have

• Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics).
• MBA or MS in Data Science.

Details

• Location: United States, remote (100% remote company).
• Compensation: OTE range of $178,503 - $214,203 in the US; actual compensation may vary based on level, experience, and skillset. Includes Restricted Stock Units (RSUs).
• Includes in-person onboarding.
• Global annual leave policy of 30 days per annum, including 3 days reserved for Grafana Shutdown Days.