Senior Product Manager, Machine Learning

Basic Job Details

Job Description

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.

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