<div class="content-intro"><h3>Who We Are</h3> <a href="https://www.baton.io/">Baton</a> is <a href="https://www.ryder.com/en-us/about-us">Ryder</a>’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world’s most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton’s mission: enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you’ll love it here. <hr></div>Role Senior Product Manager, Machine Learning Location Hayes Valley, San Francisco, CA <h2>Basic Job Details</h2> Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday <h2>Job Description</h2> We’re looking for a visionary Senior Product Manager to own the product strategy for Baton's Machine Learning pod. Baton's ML infrastructure and model portfolio are maturing fast — from planning and scheduling optimization models to ETA prediction to Generative AI models — and this role exists to make sure that investment converts into measurable, durable value for Ryder and its customers. This role is crucial as we expand our long-term roadmap to build the next-generation freight technology platform. As an early product manager at Baton, you’ll have an opportunity to make a huge impact through owning numerous mission-critical product initiatives. You'll own the 0->1 definition and prioritization of AI-driven product initiatives, partner closely with ML/infrastructure engineers and data scientists, and drive the transition of pilots and PoCs into production. We're looking for someone scrappy, technically fluent, and driven to turn ML capability into shipped products. <h2>Responsibilities</h2> <ul> <li>Lead the full product development life cycle, from need-finding to product vision and execution</li> <li>Own product strategy and roadmap prioritization for the ML Pod's portfolio of models and AI initiatives</li> <li>Own the initiative to improve ETA prediction accuracy and other model metrics</li> <li>Identify and address technological constraints that limit the growth of the business unit</li> <li>Develop proposals and research different strategies to define our short-term roadmap and long-term vision</li> <li>Work with design to drive prototyping and early ideation of new product features and capabilities across various logistics workflows</li> <li>Partner closely with ML/infrastructure engineers and data scientists to prioritize the backlog against business impact</li> <li>Define the go-to-market and ado