Sr. Product Manager - Supply Chain

OEC

21h

About The Position

OEC provides software solutions for professionals in the automotive parts and repair industry, helping them buy and sell parts, conduct repair research and planning, optimize estimates, and improve the parts supply chain. OEC partners with manufacturers, dealers, suppliers, repair shops, and service providers to provide a comprehensive network and streamlined workflows. The Sr. Product Manager defines and executes strategies to embed AI in product capabilities and internal processes while owning strategy for core supply chain forecasting and demand planning capabilities. The role aims to improve efficiency, accelerate execution, and enhance product performance through automation, decisioning, forecasting, and data-driven insights. It partners with Product, Engineering, Data Science, Operations, and customer-facing teams to deliver measurable improvements in productivity, revenue, and customer experience. The product manager owns product strategy from opportunity identification and market analysis through definition, development, launch, and ongoing iteration. This role requires deep knowledge of automotive supply chain workflows, OEM programs, dealer operations, AI/ML product development, and forecasting and demand planning. The successful candidate will lead cross-functional initiatives, work directly with OEM customers and internal senior stakeholders, communicate strategy and results, and thrive in a fast-paced remote work environment. The position requires willingness and ability to attend virtual meetings with the laptop camera on.

Requirements

Bachelor’s degree from an accredited college or university in Information Technology, Computer Science, Data Science, Supply Chain Management, Operations, Statistics, Business, or a related discipline; equivalent directly related work experience may substitute for the degree.
At least 6 years of product management experience, including full product lifecycle ownership covering market or opportunity analysis, requirements definition, development partnership, launch, and iteration.
At least 3 years leading AI/ML-powered or data-driven product initiatives from concept through launch.
Experience defining and tracking product KPIs and designing experiments, such as A/B tests or pilots, to validate product hypotheses.
Proven track record leading complex, cross-functional AI or data-driven product initiatives from concept through steady-state performance.
Working knowledge of the AI/ML product development lifecycle, data pipelines, model evaluation, human-in-the-loop design, and responsible AI practices.
Deep automotive industry expertise, including familiarity with OEM programs, dealer operations, and automotive supply chain workflows.
Working knowledge of supply chain forecasting and demand planning methodologies, including statistical forecasting, inventory optimization, and forecast accuracy measurement, and how they translate into product requirements.
Skill in identifying high-impact AI use cases that balance technical feasibility, customer desirability, and business value.
Ability to build and maintain executive-level relationships with OEM customers and internal senior stakeholders, and to own those conversations directly.
Excellent strategic thinking and structured problem-solving skills, including the ability to translate ambiguous business problems and data into clear product requirements and actionable recommendations.
Ability to take initiative and ownership and drive team and cross-functional efficiency against aggressive timelines.
Ability to thrive in a fast-paced remote work environment while maintaining quality and customer focus.
Excellent communication skills and ability to present product strategy and performance clearly to customer leadership and internal executive teams.
Willingness and ability to attend virtual meetings with the laptop camera on.

Responsibilities

Develop a deep understanding of marketplace requirements, customer needs, and competitive dynamics in the automotive supply chain to inform ongoing product improvements.
Own the end-to-end product lifecycle, from opportunity identification and requirements definition through design, development, launch, and post-launch iteration.
Identify, prioritize, and build business cases for high-impact opportunities to apply AI-driven automation, decisioning, and data-driven insights to customer-facing products and internal processes.
Partner with Engineering and Data Science to translate business problems into clear, well-scoped product requirements and evaluate feasibility, trade-offs, and technical approaches.
Define success metrics and experiment designs, such as A/B tests and pilots, to validate product hypotheses and quantify effects on productivity, revenue, and customer experience.
Partner with OEM field teams and internal Success teams to develop post-launch campaigns that maximize dealer adoption and program ROI.
Partner with Sales, Marketing, and Product leadership to align go-to-market strategy, positioning, and pricing for new Supply Chain product capabilities.
Develop and deliver product and program performance reporting and insights to OEM customers and OEC leadership, connecting outcomes to business impact.
Act as an escalation point for product-related issues, driving timely resolution and communicating outcomes to internal and external stakeholders.
Serve as a subject-matter expert on applying AI in the automotive supply chain and educate stakeholders and leadership about opportunities, risks, and responsible-AI considerations where relevant.
Monitor product and feature adoption and performance, and iterate the roadmap based on usage data, customer feedback, and business results.
Help guide the strategy and roadmap for supply chain forecasting and demand planning capabilities, ensuring models and tools use sound forecasting methodology and provide actionable accuracy for customers.