Teams at Cedar

Lead product analytics efforts by designing and evaluating experiments, building dashboards, and producing statistical insights. Partner with product, design, and engineering to measure product success, identify optimization opportunities, and embed ML-driven personalization into the product.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Lead product investment strategy and portfolio planning by building frameworks, financial and operating models, and executive-ready business cases. Partner cross-functionally with Product, Finance, Sales, and GTM to prioritize roadmaps, track product-level economics and ROI, and provide decision support for investing, scaling, pausing, or deprioritizing products, including AI offerings.