Principal Product Manager: AI Measurement, Adobe Mix Modeler

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe Mix Modeler (AMM) is redefining how enterprises measure, plan, and optimize marketing investment by combining advanced modeling with business user focused experiences. The solution helps organizations move beyond fragmented attribution toward comprehensive, trustworthy insights that guide budget allocation, forecasting, and decision-making across channels and marketing teams. As Principal Product Manager, AI Measurement in Adobe Mix Modeler, own core areas of AMM’s roadmap inclusive of researching, incubating, and delivering AI-powered capabilities that help marketers and analysts understand what’s working, predict outcomes, and confidently act on insights. Your areas of responsibility will be especially focused on AI based marketing measurement capabilities. Depending on a given project, you could also influence data ingestion/mapping, scenario planning, user experience and various internal and external integrations. You will be responsible for the end-to-end success of these features; from discovering customer problems, establishing business opportunity, collaborating x-functionally to make your solutions come to life and finally ensuring customer and business success. This is a senior, hands-on product role that blends execution excellence with strategic influence. You will also meet directly with customers in pre- and post-sale contexts and help Adobe scale and evolve Mix Modeler as a core part of the Adobe Analytics family of solutions. Your work will directly influence how some of the largest brands measure the performance of their campaigns and how they allocate billions in media spend to drive growth. It’s an exciting time to join the team. We are firmly in the incubation and growth stages of the product-set. Our culture is to build value quickly, learn, iterate, and repeat. Come help drive this vision! What You’ll Do Product Strategy & Execution Own strategy, roadmap, and execution for one or more functional areas within Adobe Mix Modeler; starting with the AI Measurement capabilities as a focus area. Set near- and mid-term product vision within your domains, identifying high-impact opportunities where AI can improve insight generation, usability, and decision support. Drive execution end to end by writing clear, detailed product requirement documents (PRDs/RPDs), user stories, and supporting documentation. Work closely with globally distributed engineering and data science teams to define scope, evaluate trade-offs, review technical approaches, and ensure high-quality delivery. Balance speed and rigor—shipping “good” solutions quickly, learning from customer feedback, and iterating rapidly is essential. Waiting to discover what perfection looks like before executing may happen from time to time but is far less common in this role. Define success metrics and evaluate post-launch performance to guide iteration and investment. ML & AI Feature Development Research, prototype, and incubate new ML/AI capabilities using a 0→1 mentality, starting with slim, focused customer value. Translate complex modeling approaches into usable product experiences tailored to analysts, data scientist and marketer personas. Partner with data science teams to shape novel modeling capabilities and build associated requirements, interpret outputs, and ensur ... (truncated, view full listing at source)