Senior Product Manager, Machine Learning

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Company Overview
A technology and product development organization within a major transportation and logistics company is focused on using emerging technologies to modernize freight and supply chain operations. Its technology portfolio includes customer-facing software, data platforms, machine learning solutions, and AI-driven products designed to improve the planning and execution of freight.

Role Summary
The Senior Product Manager, Machine Learning will own product strategy and roadmap development for a machine learning portfolio spanning planning and scheduling optimization, ETA prediction, and Generative AI. The role focuses on turning machine learning capabilities, pilots, and proofs of concept into production products that deliver measurable and sustainable business value.

Responsibilities

• Lead the full product development lifecycle, from identifying customer and business needs through product vision, strategy, and execution.
• Own product strategy and roadmap prioritization for the machine learning portfolio and AI initiatives.
• Lead initiatives focused on improving ETA prediction accuracy and other machine learning performance metrics.
• Identify and address technological constraints that may limit business growth.
• Develop product proposals and research strategies to establish short-term roadmaps and long-term product vision.
• Work with design teams on prototyping and early ideation for new product features across logistics workflows.
• Partner closely with ML infrastructure engineers and data scientists to prioritize product backlogs based on business impact.
• Define go-to-market and adoption strategies for AI capabilities across freight and customer-facing platforms.
• Coordinate cross-functional initiatives involving teams throughout the organization.
• Identify future AI and ML opportunities that can influence long-term technical and product strategy.

Minimum Qualifications

• Experience owning product strategy and roadmaps for technically complex or ML/AI-driven products.
• Experience building 0-to-1 products and delivering strong user experiences or measurable business outcomes.
• Proven track record of launching traditional machine learning or Generative AI products.
• Experience taking initiatives through the full product lifecycle, from proof of concept through production, monitoring, and maintenance.
• Strong understanding of ML and AI concepts sufficient to prioritize initiatives and collaborate effectively with engineering teams.
• Ability to determine when AI is appropriate for a business problem and identify the appropriate approach, including mathematical optimization, traditional machine learning, or Generative AI.
• Experience working with cross-functional and technical stakeholders across an organization.
• Ability to execute independently with minimal guidance.
• Strong data-driven analytical skills and the ability to support recommendations with evidence.

Preferred Qualifications

• 6+ years of professional experience.
• 4+ years of product management experience.
• Comfortable working in ambiguous, dynamic, and fast-growing environments.
• Experience in a B2B SaaS environment is preferred.
• Experience in freight, logistics, manufacturing, or another operationally complex industry is an advantage.
• Experience partnering with MLOps or ML infrastructure teams.

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