Principal Product Manager, Agentic Business Orchestration & Automation

As a Product Manager for Agentic Business Orchestration & Automation, you will 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 and spend significant time with enterprise customers and internal users to prioritize requirements and ship improvements that keep UiPath ahead of frontier model capabilities and positioned as the most trusted way to put agents to work in production. You will also collaborate daily with engineering and GTM teams.

In just the past year, agentic automation has redefined what's possible inside the enterprise — and we're only scratching the surface. As model intelligence accelerates, the ultimate form factor for orchestrating agents alongside humans and deterministic systems remains unwritten. We're looking for a PM who combines deep technical understanding, genuine empathy for operators and developers, and strong product intuition. You should be equally comfortable debugging an agent trace with engineers, prototyping, enabling GTM teams, walking through a process with a Fortune 500 COO, and presenting strategy to executives.

Responsibilities

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 cutting-edge advances in reasoning, tool use, and long-horizon planning into practical, governable enterprise features.; Build the ecosystem around agents, processes, and connectors so customers and partners can easily share, reuse, and scale agentic patterns.; Operate as an AI-multiplied PM: leverage AI to synthesize customer signals, draft specs, prototype flows, and run evaluations — compressing the cycle from insight to shipped feature.; Move closer to GTM: own competitive positioning, partner with PMM on messaging, collaborate with forward deployed engineers, echo learnings, and stay directly engaged with customer success and field teams on adoption and expansion.; Define and own the metrics that matter — task success rate, intervention rate, cost-per-completion, time-to-value — and use them to drive prioritization.

Requirements

Have 5+ combined years in product management and engineering, including at least 1 year as a professional engineer or solutions architect.; Deep technical background, shipping technical products cross-functionally with engineering and applied AI/research teams.; Track record of launching ambitious products with distribution or commercial success — enterprise SaaS, automation, workflow, iPaaS, or developer platforms preferred.; Stay hands-on with frontier models, agent frameworks (LangGraph, AutoGen, MCP, etc.), and the evolving tool-use / orchestration landscape.; AI literacy in practice, not theory — you 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: you do your own user research, run discovery calls, and form opinions from first-hand observation rather than secondhand reports.; Excellent stakeholder communication across executives, enterprise buyers, engineers, and researchers.; Creative, hacker spirit; love solving 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 a regulated vertical (financial services, healthcare, public sector).; Second language skills on top of excellent spoken English.