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UiPath is seeking a Product Manager for Agentic Business Orchestration & Automation to drive the evolution of how enterprises design, deploy, and govern multi-agent systems that execute end-to-end business processes. You will own a critical surface of the platform where AI agents, deterministic robots, APIs, and humans are composed into reliable, auditable, business-grade workflows.
You will work closely with enterprise customers and internal users to prioritize requirements and ship improvements that keep UiPath ahead of frontier model capabilities. You will collaborate daily with engineering and GTM teams, operating at the intersection of cutting-edge AI advances and practical enterprise needs.
Key responsibilities include:
- Define the roadmap for an area of the Agentic Orchestration product suite (agent runtime, planner/router, human-in-the-loop, governance, or process composition)
- Translate advances in reasoning, tool use, and long-horizon planning into practical, governable enterprise features
- Build the ecosystem around agents, processes, and connectors for easy sharing, reuse, and scaling of agentic patterns
- Operate as an AI-multiplied PM: leverage AI to synthesize customer signals, draft specs, prototype flows, and run evaluations
- Own competitive positioning, partner with product marketing on messaging, and stay engaged with customer success and field teams
- Define and own key metrics (task success rate, intervention rate, cost-per-completion, time-to-value) to drive prioritization
You should be equally comfortable debugging agent traces with engineers, prototyping, enabling GTM teams, walking through processes with Fortune 500 executives, and presenting strategy to leadership.
REQUIREMENTS:
- 4 years combined experience in product management and software engineering
- Technical background with track record of shipping technical products cross-functionally with engineering and applied AI/research teams
- Track record contributing to ambitious products with distribution or commercial success (enterprise SaaS, automation, workflow, iPaaS, or developer platforms preferred)
- Hands-on experience with frontier models, agent frameworks (LangGraph, AutoGen, MCP, etc.), and the evolving tool-use/orchestration landscape
- AI literacy in practice: use AI-assisted product tools daily for research synthesis, spec drafting, and prototyping
- Strong data synthesis instinct: comfortable in SQL/notebooks, translating raw analytics and eval results into strategic decisions
- High customer empathy: conduct own user research, run discovery calls, form opinions from first-hand observation
- Excellent stakeholder communication across executives, enterprise buyers, engineers, and researchers
- Creative, hacker spirit with ability to solve puzzles where the right answer didn't exist 12 months ago
NICE TO HAVE:
- Experience with prompt engineering, evals, or fine-tuning workflows on customer data
- Background in BPM, RPA, iPaaS, or enterprise workflow platforms
- Domain depth in regulated verticals (financial services, healthcare, public sector)
- Second language skills alongside excellent spoken English
