Marketing Analytics Director | United States | Remote

About Grafana Labs Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder‑practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. What You’ll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team, translating complex data into a clear roadmap for demand generation and revenue growth. Dual‑Track Target Setting: Architect and own a sophisticated forecasting framework that balances top‑of‑funnel volume with high‑intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest‑ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Perform causal inference and predictive trend analysis, isolating anomalies and digging deep into data insights. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board, delivering succinct reads while allowing deeper dives when requested. Utilizing AI and Automation Agentic Insights: Deploy LLM‑powered agents to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns to build self‑healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI‑driven scoring models that separate high‑value potential users from low‑signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity within a high‑growth SaaS or PLG environment. Demonstrated history as a force multiplier, having built tooling, rituals, evaluator systems, or frameworks that measurably improved other analysts or the broader organization. Mastery of SQL and Python, and deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands‑on AI fluency as a builder, having built and shipped agentic systems with Claude Code, MCP, or comparable tools, and designed around LLM limitations. 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 the connectivity between Salesforce, marketing automation, and product‑led data streams. Executive presence with experience presenting to executive and board audiences. Bonus Points For Bachelor’s or Master’s degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. Compensation In the US, the OTE compensation range for this role is $178,503 – $214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. Why You’ll Thrive at Grafana Labs 100% Remote, Global Culture: As a remote‑only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization: Tackle meaningful work in a high‑growth, ever‑evolving environment. Transparent Communication: Expect open decision‑making and regular company‑wide updates. Innovation‑Driven: Autonomy and support to ship great work and try new things. Open Source Roots: Built on community‑driven values that shape how we work. Empowered Teams: High trust, low ego culture that values outcomes over optics. Career Growth Pathways: Defined opportunities to grow and develop your career. Approachable Leadership: Transparent execs who are involved, visible, and human. Passionate People: Join a team of smart, supportive folks who care deeply about what they do. In‑Person onboarding: We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key: We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. We will comply with local legislation where applicable. Equal Opportunity Employer Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Privacy Policy For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

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