[Remote] Sr. Product Manager - Supply Chain

Note: The job is a remote job and is open to candidates in USA. OEC provides software solutions for the automotive parts and repair industry. The Senior Product Manager - Supply Chain owns product strategy and lifecycle for AI-enabled products and supply chain forecasting and demand planning capabilities, partnering across teams to improve productivity, revenue, and customer experience.

Responsibilities

• Develops a deep understanding of marketplace requirements, customer needs, and competitive dynamics in automotive supply chain to apply to continuous product improvements
• Owns the end-to-end product lifecycle — from opportunity identification and requirements definition through design, development, launch, and post-launch iteration
• Identifies, prioritizes, and builds the business case for high-impact opportunities to apply AI-driven automation, decisioning, and data-driven insights across both customer-facing products and internal operating processes
• Partners closely with Engineering and Data Science to translate business problems into clear, well-scoped product requirements, evaluating feasibility, trade-offs, and technical approach
• Defines success metrics and experiment designs (e.g., A/B tests, pilots) to validate product hypotheses and quantify impact on productivity, revenue, and customer experience
• Partners with OEM field teams and internal Success teams to develop strategic post-launch campaigns that maximize dealer adoption and program ROI
• Partners with Sales, Marketing, and Product leadership to align go-to-market strategy, positioning, and pricing for new Supply Chain product capabilities
• Develops and delivers product and program performance reporting and insights to OEM customers and OEC leadership, ensuring outcomes are clearly tied back to business impact
• Act as an escalation point for product-related issues, driving timely resolution and communicating outcomes to internal and external stakeholders
• Serves as a subject-matter expert on applying AI within automotive supply chain, educating stakeholders and leadership on opportunities, risks, and responsible-AI considerations where relevant
• Monitors adoption and performance of the product and features, iterating the roadmap based on usage data, customer feedback, and business results
• Helps to guide the strategy and roadmap for supply chain forecasting and demand planning capabilities, ensuring models and tools reflect sound forecasting methodology and deliver actionable accuracy for customers

Skills

• A bachelor's degree from an accredited college or university is required, with a focus Ain Information Technology, Computer Science, Data Science, Supply Chain Management, Operations Statistics, Business or related discipline
• In the absence of a degree, equivalent work experience directly related to the key responsibilities of the role will be considered as a substitute for the degree
• At least 6 years of product management experience with a background that  includes full product lifecycle ownership (market/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, prior experience defining and tracking product KPIs and designing experiments (e.g., A/B testing, pilots) to validate product hypotheses, plus a proven track record of 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 domain expertise, including familiarity with OEM programs, dealer operations, and automotive supply chain workflows
• Working knowledge of supply chain forecasting and demand planning methodologies (e.g., statistical forecasting, inventory optimization, forecast accuracy measurement) and how they translate into product requirements
• Skilled at 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, comfortable owning those conversations directly
• Excellent strategic thinking and structured problem-solving skills, with 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 to deliver against aggressive timelines
• Excellent communication skills and can present product strategy and performance clearly to both customer leadership and internal executive teams

Benefits

• Flexible work arrangements, which vary by employee and may be remote, hybrid, or in-person.
• A strong sense of camaraderie and community that celebrates individual and team-driven contributions.
• An empowering, dynamic, and supportive environment that encourages employees to take risks, learn, and grow.

Company Overview

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