Product Owner - ML Platform

Product Owner - ML Platform About the Company Why We Built Lyric: Supply chains are more critical and complex than ever. Every day, large enterprises navigate trillions of possible decisions that could impact the bottom line. Powerful algorithms and AI can address these problems, yet most organizations struggle to leverage supply chain AI at scale. The current SCM technologies are either rigid, limited-scope point solutions or custom solutions built in-house, which demand immense expertise and investment. That is…until now. Enter Lyric: Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds: - Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plus - A platform-first approach that empowers both business and technical users with end-to-end product composability, leveraging no-code tools, their own code, or even forking our code to build and refine supply chain decision intelligence With Lyric, enterprises no longer have to choose between flexibility and speed, they get both. The Mission: We’re building a new era in supply chain with the team best equipped to lead it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like Lyric. Since our inception in December 2021, that conviction has been validated time and time again. Today, a growing number of Fortune 500 companies, including Smurfit WestRock, Estée Lauder, Coca-Cola, and more, are innovating on their own terms with Lyric. We can’t wait to see what our customers, both current and future, are empowered to build with us next. Come build with us! We are looking for a dynamic and driven Machine Learning Product Owner who will be instrumental in shaping the future of our supply chain platform by building robust Forecasting and Prediction capabilities. You’ll work at the intersection of data science, product management, and supply chain expertise to design and implement solutions that predict demand, forecast inventory needs, and optimize supply chain operations. ROLE OVERVIEW: As the ML Product Owner at Lyric, you will lead the development of machine learning models and forecasting tools that provide predictive insights to our supply chain platform. You will collaborate with cross-functional teams, including data scientists, engineers, and supply chain experts, to identify business needs and drive product innovations. Your main goal will be to leverage ML/AI technologies to improve forecasting accuracy, reduce risks, and enhance decision-making processes for our customers. KEY RESPONSIBILITIES: - Own the ML Roadmap: Define and prioritize product features and enhancements related to ML-based forecasting and prediction in the supply chain context. - Bridge Business and Technology: Collaborate with stakeholders across Lyric, including business leaders, customers, data scientists, and engineers, to understand needs and translate them into scalable ML solutions. - Forecasting & Predictive Modeling: Work with the data science team to design, implement, and refine machine learning models that predict demand, optimize inventory levels, and forecast supply chain disruptions. - Data-Driven Insights: Lead initiatives to incorporate predictive analytics into the Lyric Supply Chain Platform, enabling users to make proactive, data-informed decisions. - User-Centric Design: Ensure the ML features are intuitive, actionable, and seamlessly integrated into the existing platform. Drive customer feedback loops to continuously refine the forecasting tools. - Technical Collaboration: Coordinate with engineering teams to implement and scale machine learning models, ensuring high performance and reliability. - Performance Metrics: Define key success metrics for ML-driven feature ... (truncated, view full listing at source)