Senior Product Manager driving AI-powered Digital Workers for FourKites' supply chain solutions. Leading product strategy and technical development with a focus on automation and customer engagement.
Responsibilities
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'
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
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
Requirements
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
Bachelor's degree in Computer Science, Engineering, or quantitative discipline
MBA or advanced degree in AI/ML is a plus
Benefits
5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work.
Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others.
Opportunities throughout the year to learn and celebrate diversity.
Access to leading AI tools and foundation models, with the freedom to experiment and find creative ways to be more effective in your role
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