Senior Product Manager - Supply Chain (AI)

Location: Remote, United States

Company

hirify.global provides software solutions for the automotive parts and repair industry, supporting parts purchasing and selling, repair research and planning, estimates, and supply chain optimization.

What you will do

• Own the end-to-end product lifecycle from opportunity identification and requirements definition through development, launch, and post-launch iteration.
• Define strategies for embedding AI into customer-facing products and internal processes, including automation, decisioning, and data-driven insights.
• Guide the strategy and roadmap for supply chain forecasting and demand planning capabilities, including forecasting methodology, inventory optimization, and forecast accuracy.
• Partner with Engineering, Data Science, Product, Operations, Sales, Marketing, OEM field teams, and Customer Success to deliver product capabilities and go-to-market plans.
• Define success metrics and experiments such as A/B tests and pilots, monitor adoption and performance, and iterate the roadmap based on data, customer feedback, and business results.
• Report product and program performance to OEM customers and hirify.global leadership, support dealer adoption and ROI, and resolve product-related escalations.

Requirements

• At least 6 years of product management experience with full product lifecycle ownership, including market and 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, designing experiments such as A/B tests and pilots, and leading complex cross-functional AI or data-driven initiatives 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 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.
• Ability to identify high-impact AI use cases balancing technical feasibility, customer desirability, and business value.
• Ability to build and maintain executive-level relationships with OEM customers and senior internal stakeholders, own those conversations directly, and communicate product strategy and performance clearly.
• 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.

Culture & Benefits

• Remote work in a fast-paced environment spanning multiple time zones and international communities.
• Collaborative culture with strong community, individual recognition, and team-driven contributions.
• Environment that encourages initiative, calculated risk-taking, learning, and professional growth.
• Virtual meetings require attendance with the laptop camera on.
• Travel required: 10%.