Opportunity
- Drive next generation AI-powered Digital Workers transforming supply chain operations
- Develop autonomous AI agents that learn, collaborate, and automate complex workflows
- Requires strategic product thinking and hands-on technical capability
Location
- Chicago preferred; open to remote with monthly travel to Chicago
What You'll Do
Product Strategy & Ownership (40%)
- Define and execute product roadmap for agentic AI solutions within 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 to automate routine tasks
- Shape long-term vision aligned with 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 like Cursor.ai
- Mine and analyze data using SQL/Python for insights and hypothesis validation
- Define agent capabilities, learning mechanisms, and multi-AI worker collaboration frameworks
- Create detailed requirements for reasoning, decision trees, and action frameworks
- Run A/B tests and establish metrics for agent performance
Customer & Market Focus (20%)
- Engage enterprise customers to identify high-value use cases and pain points
- Translate complex workflows into autonomous agent behaviors
- Present product vision and roadmap to customers at events like FourKites Summit
- Collaborate with data science teams leveraging daily supply chain events for agent training
Success Metrics (Year 1)
- Achieve >90% customer retention for AI agent products
- Achieve 80%+ adoption on new feature releases
- Demonstrate measurable automation rates and ROI for enterprise customers
- Launch 2-3 new digital workers with proven business impact
Required Qualifications
Experience
- 5+ years in product management in fast-growing SaaS companies
- 2+ years focused on AI/ML products with enterprise B2B track record
- Experience with autonomous systems, conversational AI, or intelligent automation
- Supply chain domain expertise in operational challenges
Technical Skills
- Hands-on ability with Cursor.ai or equivalent tools for prototypes
- Proficiency in SQL and Python for data analysis
- Strong understanding of LLMs, reinforcement learning, and multi-agent systems
- Experience with API design and system architecture
Soft Skills
- Self-starter mindset thriving in ambiguity
- Excellent communication skills for diverse audiences
- Proactive problem-solving and collaboration
- Data-driven decision making with strong analytics
Education
- Bachelor's degree in Computer Science, Engineering, or quantitative discipline
- MBA or advanced degree in AI/ML is a plus
What Makes You Stand Out
- Experience building products combining real-time data processing with AI decision-making
- Knowledge of supply chain management systems (TMS, WMS, ERP)
- Background in digital twin technology or real-time visibility platforms
- Contributions to AI/ML communities through papers, talks, or open source projects
- Experience with domain-specific vs general-purpose AI assistants
