Job descriptionIf you’re a senior marketing analytics professional who thrives on measurement rigor, attribution nuance, experimentation, and data-driven growth strategy, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about marketing performance. You’ll challenge and evaluate advanced language models on domain-specific topics such as multi-touch attribution, paid media performance, cohort analysis, and conversion rate optimization to strengthen model reasoning and improve how AI systems communicate marketing insights. Key Responsibilities: • Evaluate AI-generated responses for accuracy, clarity, analytical rigor, and practical usefulness in marketing analytics contexts. • Challenge advanced language models with complex marketing analytics scenarios, including attribution tradeoffs, funnel diagnostics, campaign performance analysis, and growth forecasting. • Review and refine AI-generated prompts, model responses, reasoning chains, and explanations related to marketing data, metrics, and decision-making. • Identify errors, omissions, misleading assumptions, or weak analytical logic in AI-generated marketing recommendations. • Provide structured feedback that helps improve model behavior, domain accuracy, and the quality of AI-supported marketing analysis. • Shape AI communication standards for how models explain dashboards, statistical findings, experiment results, campaign outcomes, and business implications. • Support benchmarking efforts by creating and evaluating tasks that test model performance across real-world marketing analytics use cases. • Contribute domain expertise to improve how AI systems handle executive summaries, performance narratives, and actionable marketing recommendations. Your Profile: • 4+ years of professional experience in marketing analytics, growth analytics, marketing science, revenue analytics, or a closely related field. • Significant hands-on work with marketing performance data, including paid media, web analytics, CRM, lifecycle marketing, campaign reporting, experimentation, or customer funnel analysis. • Deep knowledge of attribution modeling, CAC/LTV analysis, funnel optimization, customer segmentation, marketing KPIs, and performance measurement frameworks. • Strong understanding of statistical reasoning, A/B testing, incrementality, cohort analysis, data visualization, and the limitations of common marketing measurement approaches. • Proven experience translating complex marketing data into clear business recommendations for executives, marketing leaders, product teams, or growth stakeholders. • Bachelor’s degree in marketing, business analytics, statistics, economics, data science, mathematics, or a related field; a master’s degree or MBA is preferred.
