ToolsGroup is a global leader in supply chain planning and optimization, seeking a Principal Technical Product Manager for Agentic AI. This role involves defining and executing the Agentic AI strategy, leading the development of autonomous planning capabilities, and collaborating across teams to enhance product offerings.
Responsibilities:
- Own the Agentic AI strategy, roadmap, and north-star outcomes across ToolsGroup’s planning suite
- Define the agentic capability model: reasoning, tool-use, guardrails, evaluation, telemetry, and human-in-the-loop controls
- Translate market signals, customer interviews, executive direction, and discovery insights into clear, compelling product bets
- Lead rapid, iterative discovery to shape the first planner-facing agents
- Prototype with ML/engineering to validate feasibility, value, and trust requirements
- Define and instrument evaluation suites for task success, safety, and regression
- Own PRDs, experience flows, instrumentation, and rollout plans
- Partner with engineering/ML to define the platform capabilities enabling agent creation (tool-use APIs, orchestration patterns, evaluation harnesses, governance frameworks)
- Ensure the platform is usable by internal product teams—and extensible to partners over time
- Establish conventions for prompt/policy design, grounding/RAG, safety constraints, and action workflows
- Work side-by-side with design to define intuitive agent–planner interaction models
- Partner with the field to identify lighthouse customers, shape pilots, and gather feedback
- Collaborate with marketing and sales enablement to tell a clear agentic value story
- Operate with high velocity while maintaining trust, safety, and enterprise-grade rigor
Requirements:
- 7–10+ years in Product Management, with Zero-to-One product delivery in ML/AI-heavy domains
- Experience with Agentic AI, autonomous planning systems, or control-plane design experience (build->embed->manage)
- Experience shipping LLM-based products, ideally with tool-use/function calling, orchestration, grounding/RAG, evaluation frameworks, and safety guardrails
- Demonstrated success in high-velocity environments, incubation teams, or startup-like product groups
- Excellent written and verbal communication—clear, concise, executive-ready
- Strong systems intuition across supply chain planning (S&OP/S&OE, forecasting, allocation, replenishment, production, logistics) or adjacent decision systems
- Understanding of ERP/WMS/TMS/APS integrations and operational workflows
- Comfort with probabilistic models, optimization, and ML operations
- Prior work building development platforms or internal-facing shared services