• Translate the CPO’s AI vision into clear product requirements, milestones, and user experiences, making day-to-day product and design decisions that keep teams aligned, unblocked, and moving quickly. • Partner closely with AI Engineering, Data Science, and Design in an embedded development model, developing working fluency in Marigold’s ML systems, LLMs, pipelines, evaluation frameworks, routing logic, and retrieval workflows to guide effective tradeoffs. • Define quality standards for AI features—including accuracy, reliability, consistency, predictability, and user trust—and collaborate on evaluation strategies, post-launch monitoring, and risk mitigation such as guardrails and fallback paths. • Lead the design of grounded, trustworthy AI experiences by supporting retrieval-based workflows, traceability, versioning, and oversight mechanisms that keep AI behavior aligned with source-of-truth data. • Ensure AI products are scalable, resilient, and cost-aware by understanding model economics, inference patterns, latency, throughput, and architectural dependencies. • Act as a central AI resource within Marigold, partnering with Product, UX, Legal, Security, and Privacy teams to promote responsible design, regulatory compliance (including EU AI Act and HIPAA), and consistent AI adoption across the platform.