Product Manager

📋 Description

• • Drive the evolution of how enterprises design, deploy, and govern multi-agent systems that execute end-to-end business processes.
• • Own a critical surface of the platform where AI agents, deterministic robots, APIs, and humans are composed into reliable, auditable, business-grade workflows.
• • Work closely 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.
• • Collaborate daily with engineering and GTM teams.
• • 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.
• • WHAT YOU'LL BRING TO THE TEAM
• • 2-4 years combined experience in product management and software engineering.
• • Technical background, contributing to the shipping of technical products cross-functionally with engineering and applied AI/research teams.
• • Track record of contributing to 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.
• • Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team.
• • We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.
• • To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.