About Measured Measured is the pioneer and leader of incrementality-based media measurement and optimization. Since 2017, leading brands have used our AI-powered, all-in-one platform to manage, test, plan, and optimize over $35 billion in full-funnel media investments. Measured’s unique combination of automated experimentation, media mix modeling, and industry-leading expertise helps marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, accuracy, and efficiency. The Role As a Principal AI Product Manager, you’ll drive AI-first product innovation at Measured to shape the future of causal measurement. You’ll turn customer needs and business opportunities into scalable AI solutions to automate work, accelerate decision-making, and deliver measurable business impact. You’ll identify high-value opportunities - both customer-facing and internal - prototype solutions, and work with engineering, design, data science, and customer success to bring them to market. You have strong SaaS product experience and ability to transform SaaS workflows into agent-driven conversational experiences. This role requires strong product instincts, excellent stakeholder management, and hands-on execution. Key Responsibilities - Own and execute the AI-first product roadmap and user experience. - Transform Measured’s current SaaS platform into an AI-first experience through prompt engineering, conversational interfaces, contextual intelligence, and agent-driven workflows. - Prototype with modern AI tools to build functional demos and make build vs. buy decisions. - Drive cross-functional development with engineering, design, data science, and customer success to bring new AI capabilities from concept to launch and scale. - Engage directly with customers to uncover pain points, validate high-impact use cases, and translate insights into production-ready agent workflows. - Partner with customer success and application experts to package deep expertise and logic into AI prompts for analysis and decisioning. - Build internal frameworks that enable product managers, engineers, and customer success teams to design, test, and iterate on prompts, agents, and datasets at scale - improving both speed and operational efficiency. - Stay ahead of AI innovation by continuously evaluating emerging LLMs, APIs, and agent frameworks, and incorporating advancements into the roadmap. - Champion AI execution excellence by influencing internal teams and executives with a clear narrative around opportunities, risks, and measurable impact. - Remain adaptable and willing to contribute to adjacent projects in support of broader team and company goals.