Teams at Fetch

Build and improve machine learning systems for ad ranking, relevance, personalization, and optimization. Responsibilities include feature pipelines, model training and evaluation, active learning, LLM-assisted labeling and synthetic data generation, experimentation, and low-latency production inference. The role partners with product, data, and platform teams to improve advertiser performance and user engagement while maintaining reliability, latency, and data quality.

Leads the Customer Experience Insights function, transforming user feedback, support interactions, behavioral analytics, and business data into product recommendations. Establishes operating models, develops insight analysts, influences product strategy, defines outcome metrics, builds knowledge systems, and partners with Product, Engineering, and Growth Marketing. The role connects user experience improvements with measurable business outcomes while using AI and advanced analytics to identify friction and improvement opportunities.

Analyze qualitative and quantitative customer feedback, behavioral data, and operational metrics to identify user pain points and root causes. Develop dashboards, KPIs, reporting, and measurement frameworks; quantify experience impacts; and provide evidence-based recommendations. Partner cross-functionally with Product, Engineering, Marketing, Data, and Support leaders to influence prioritization, evaluate initiatives, and improve customer satisfaction, usability, loyalty, adoption, and support demand.