Product Strategy & Vision

• Define and execute the product roadmap for agentic AI solutions within FourKites' Intelligent Control Tower
• Collaborate with leadership to align AI agent development with company's shift from "software-as-a-service" to "service-as-software"
• Identify new opportunities for AI agents across supply chain domains (procurement, inventory, customer service, logistics)
• Develop business cases for new digital workers that can automate 60-80% of routine supply chain tasks

AI Agent Development & Management

• Lead the end-to-end product lifecycle for autonomous AI agents from concept to launch
• Define agent capabilities, learning mechanisms, and collaboration frameworks between multiple AI workers
• Establish metrics for agent performance, including automation rates, accuracy, and business impact
• Work with engineering to implement continuous learning systems that improve agent capabilities over time

Cross-functional Leadership

• Partner with engineering teams to translate complex supply chain workflows into autonomous agent behaviors
• Collaborate with data science teams to leverage FourKites' 3.2M daily supply chain events for agent training
• Work with customer success to gather feedback and iterate on agent performance
• Coordinate with sales and marketing to position AI agents as competitive differentiators

Customer & Market Focus

• Engage directly with enterprise customers to understand pain points in supply chain operations
• Conduct user research to identify tasks suitable for AI automation vs. human expertise
• Define success metrics aligned with customer outcomes (OTIF improvement, cost reduction, efficiency gains)
• Present product vision and roadmap to customers at events like FourKites Summit

Technical Product Management

• Create detailed product requirements for agentic AI systems including reasoning capabilities, decision trees, and action frameworks
• Define APIs and integration points for AI agents to interact with existing supply chain systems
• Establish guardrails and governance frameworks for autonomous decision-making
• Work with security teams to ensure enterprise-grade data protection for AI operations

Experience

• 4-6 years of product management experience, with at least 2 years focused on AI/ML products
• Proven track record of shipping AI-powered products in enterprise B2B environments
• Experience with autonomous systems, conversational AI, or intelligent automation preferred
• Understanding of supply chain operations, logistics, or procurement is a strong plus

Technical Skills

• Strong understanding of AI/ML concepts including LLMs, reinforcement learning, and multi-agent systems
• Familiarity with agentic AI frameworks and autonomous decision-making systems
• Ability to work with technical teams on API design and system architecture
• Experience with data-driven product development and A/B testing methodologies

Business & Leadership Skills

• Excellent analytical skills with ability to translate complex technical concepts for business stakeholders
• Strong communication skills for presenting to customers, executives, and technical teams
• Data-driven mindset with experience in defining and tracking product metrics
• Ability to manage multiple stakeholder priorities in a fast-paced environment

Education

• Bachelor's degree in Computer Science, Engineering, or related technical field
• MBA or advanced degree in AI/ML is a plus

What Makes You Stand Out

• Experience building products that combine real-time data processing with AI decision-making
• Knowledge of supply chain management systems (TMS, WMS, ERP)
• Background in building B2B SaaS products for enterprise customers
• Experience with digital twin technology or real-time visibility platforms
• Contributions to AI/ML communities through papers, talks, or open source projects
• Understanding of domain-specific AI agents vs. general-purpose AI assistants