Manager, Product Management

Set the product vision, roadmap, and success measures for the Brand Innovation Optimization product suite. Lead product work from early discovery through launch, adoption, and ongoing improvement. Learn how Innovation and R\u0026D teams work, where they get stuck, and what they need from a data and intelligence perspective to make decisions. Turn internal customer and business needs into clear product requirements and practical roadmaps for engineering, design, and analytics developers. Identify opportunities to leverage data and analytics to accelerate the end to end process of coming up with and vetting concepts through to developing and distributing the products. Partner with Innovation, Brand, Strategy, and R\u0026D leaders to guide portfolio choices and innovation bets. Influence senior leaders Define the right KPIs, support testing and learning, and make sure insights lead to real decisions. Help teams adopt new tools and ways of working through clear communication, support, and change management. Share progress, risks, trade-offs, and recommendations in a clear and practical way. 4-6 years of product management experience, including releasing software and data products in complex, cross-functional environments. Experience building data, insight, or decision-support products that drive real business value. Strong execution skills, including prioritization, trade-off management, and comfort working through ambiguity. Ability to define roadmaps, requirements, KPIs, and experiments with senior stakeholders and cross-functional teams. Strong communication skills and the ability to work well with both technical and business partners. Experience working closely with data science, data engineering, and business teams. A customer-focused, low-ego, hands-on approach with strong ownership. Familiarity with generative AI, intelligent workflows, or AI-powered product features is a plus. Experience in consumer-packaged goods, innovation, brand, or growth-related work is a plus. Familiar with traditional software and product development practices in an agile environment (sprints, releases, roadmaps). Experience building internal tools or enterprise products for business users Exposure to AI/ML products or workflow automation Comfort working in a fast-moving, high-trust environment with a lot of independence