Senior Product Manager, FourKites

• This role requires both strategic product thinking AND hands-on technical capability
• 5+ years of product management experience in fast-growing SaaS companies
• At least 2 years focused on AI/ML products with proven track record in enterprise B2B
• Experience with autonomous systems, conversational AI, or intelligent automation
• Supply chain domain expertise: Deep understanding of operational challenges (shipper pain points, yard management, multimodal logistics)
• Hands-on ability with Cursor.ai or equivalent tools to quickly build prototypes
• Proficiency in SQL and Python to independently explore data and insights
• Strong understanding of LLMs, reinforcement learning, and multi-agent systems
• Experience with API design and system architecture
• Self-starter mindset: Thrives in ambiguity, identifies opportunities without waiting for detailed briefs
• Excellent communication skills for presenting to customers, executives, and technical teams
• Proactive problem-solving with hunger to learn and collaborate
• Data-driven decision making with strong analytical capabilities

Desirable

• We're seeking an innovative Agentic AI Product Manager to drive the next generation of our AI-powered Digital Workers
• You'll develop autonomous AI agents that transform supply chain operations - digital workers that can learn, collaborate, and automate complex workflows
• Product Strategy & Ownership (40%):
• Define and execute the product roadmap for agentic AI solutions within FourKites' Intelligent Control Tower
• Own product P&L, adoption metrics, and customer outcomes
• Drive go-to-market strategy with sales and customer success teams
• Develop business cases for new digital workers that can automate routine supply chain tasks
• Shape the long-term vision aligned with our shift from "software-as-a-service" to "service-as-software"
• Technical Product Development (40%):
• Lead end-to-end product lifecycle for autonomous AI agents from concept to launch
• Build proof-of-concepts and prototypes using AI tools (Cursor.ai or equivalent) to demonstrate value
• Mine and analyze data using SQL/Python to gain usage insights and validate hypotheses
• Define agent capabilities, learning mechanisms, and collaboration frameworks between multiple AI workers
• Create detailed requirements for reasoning capabilities, decision trees, and action frameworks
• Run A/B tests and establish metrics for agent performance
• Customer & Market Focus (20%):
• Engage directly with enterprise customers to identify high-value use cases and pain points
• Translate complex supply chain workflows into autonomous agent behaviors
• Present product vision and roadmap to customers at events like FourKites Summit
• Collaborate with data science teams to leverage FourKites' 3.2M daily supply chain events for agent training
• Success Metrics (Year 1):
• Achieve >90% customer retention for AI agent products
• Achieve 80%+ adoption on new features released
• Demonstrate measurable automation rates and ROI for enterprise customers
• Launch 2-3 new digital workers with proven business impact