Senior Product Manager, Machine Learning

Job description

### **Who We Are** [**Baton**](https://www.baton.io/) is **[Ryder](https://www.ryder.com/en-us/about-us)**’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. --- **Role**Senior Product Manager, Machine Learning **Location** Hayes Valley, San Francisco, CA ## **Basic Job Details** **Job Type:** Full Time **Work Model:** Hybrid **Remote Days:** Monday & Friday **Office Days:** Tuesday, Wednesday, Thursday ## **Job Description** 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. ## **Responsibilities** - Lead the full product development life cycle, from need-finding to product vision and execution - Own product strategy and roadmap prioritization for the ML Pod's portfolio of models and AI initiatives - Own the initiative to improve ETA prediction accuracy and other model metrics - Identify and address technological constraints that limit the growth of the business unit - Develop proposals and research different strategies to define our short-term roadmap and long-term vision - Work with design to drive prototyping and early ideation of new product features and capabilities across various logistics workflows - Partner closely with ML/infrastructure engineers and data scientists to prioritize the backlog against business impact - Define the go-to-market and adoption plan for AI capabilities across Ryder's freight and customer-facing platforms - Navigate relationships to execute cross-department projects touching every inch of the organization - Keep a mind toward future AI/ML product opportunities to help shape Baton's technical and product vision for 1, 5, and 10 years down the line ## **Minimum Qualifications** - Experience owning product strategy and roadmap for a technically complex or ML/AI-driven product - Experience building 0→1 products and delivering exceptional user experiences or business outcomes - A proven track record of shipping traditional ML or Generative AI products - Experience taking an initiative through its full lifecycle: from PoC to production and monitoring/maintenance - Sufficient fluency in ML/AI concepts to prioritize effectively and earn engineering trust (not a hands-on/technical PM requirement) - Can quickly grasp whether or not AI is needed to solve the problem, and if so, can quickly determine what type of AI could solve it (prescriptive = mathematical optimization vs. predictive = traditional ML vs. generative AI) - Experience working with cross-functional and technical stakeholders across the organization - Ability to execute with minimal guidance - Strong data-driven analytical skills to back up assumptions and recommendations ## **Preferred Qualifications** - 6+ years experience - 4+ years experience in product management - Comfortable in ambiguous situations, dynamic environments, and an understanding what fast-growing startups entail for PMs - Experience in a B2B SaaS environment, ideally within freight, logistics, manufacturing, or another operationally complex industry - Experience partnering with MLOps or ML infrastructure teams ## **The Perks** - Competitive Base Salary + Cash Bonus Structure - Annual Company Bonus + Long-Term Incentive Plan - 401k with Matching - Hybrid Work Schedule - Hyper-Stable, publicly traded Enterprise - Medical, Dental, and Vision Health Coverage - Employee Stock Purchase Program (15% discount to market value) - Collaborative, Fun, and Tech-Forward office in Hayes Valley, San Francisco, CA **Compensation Range:**The annual base salary range for this position is $190,000 - $240,000\*. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus. --- ### **Why You Should Join** - **Have an immediate impact:** - With Ryder’s existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one. - **Opportunity to grow and lead in a Fortune 500 company:** - You’ll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team. - **Creative, fast-paced environment to solve impactful problems in Supply Chain:** - We’re going to design completely new tools for an industry that hasn’t been rethought in decades. And to do this, we need people who think differently.