Lead strategy, discovery, and delivery for AI-powered enterprise logistics products, partnering with engineering, design, solutions, and customers. The role requires 6+ years of product management experience, strong technical integration expertise, and the ability to translate complex workflows into measurable product outcomes.
Salary not listed
Remote6+ YOEProduct Management
About the role
Responsibilities
Define and execute product strategy for core logistics solutions, aligning with business objectives and customer needs.
Collaborate with engineering, design, and solutions teams to design, build, and launch features integrating with enterprise OMS, WMS, TMS, and POS systems.
Lead product discovery through customer insights, internal feedback, and market research.
Own the product lifecycle from concept through launch, including scoping, prioritization, requirements definition, and technical solution validation.
Work with customers and solutions engineers to develop use cases, validate requirements, and improve workflows.
Create product documentation, enablement materials, and value narratives for sales, customer success, and go-to-market teams.
Drive analytics and reporting to measure success, customer adoption, and continuous improvement.
Test AI models, agent capabilities, and feature prototypes against real-world customer use cases.
Represent the product vision with customers, partners, and at industry events.
Requirements
6+ years of product management experience, ideally in SaaS, logistics, supply chain, or enterprise software.
Strong technical acumen with experience in system integrations, APIs, and complex enterprise environments.
Strong product discovery and analytical skills.
Exposure to AI tools and models and their application to operational workflows.
Experience leading cross-functional product development with engineering, design, and technical sales or solutions teams.
Ability to write requirements, user stories, and comprehensive use cases.
Excellent communication skills with technical and executive audiences.
Ability to drive initiatives from 0 to 1 in fast-paced, evolving environments.
Nice-to-haves
Experience in logistics, delivery, or supply chain technology.
Experience shipping AI-native or agent-driven product features.
Hands-on data analysis or financial modeling experience.
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