Principal Product Manager, Agentic Automation - Agents Core Infrastructure

UiPath•Bellevue, WA

About The Position

Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission This role owns the vision and product direction of UiPath’s Agentic Automation Core Infrastructure, driving foundational services like the UiPath LLM Gateway, context grounding, tool-calling frameworks, interoperability across LLMs, and secure on-prem execution. You will define how agents are governed, grounded, and safely extended while ensuring every automation and AI agent built on UiPath runs reliably, securely, and at enterprise scale. Your north star is trust and scalability: measurable increases in enterprise adoption of agentic automation, enabled by infrastructure that is both robust and developer friendly. This position demands large-scope ownership combining deep technical fluency, platform-scale thinking, and the ability to balance innovation with enterprise-grade guardrails.

Requirements

10+ years of experience in product management or platform engineering with a strong record of shipping enterprise-grade infrastructure products (AI governance, cloud platforms, or developer frameworks).
Proven technical fluency with AI/ML systems, cloud infrastructure, and security/compliance frameworks.
Hands-on familiarity with AI orchestration and model-interoperability (e.g., integrating multiple LLMs, managing runtime execution).
Experience driving on-prem/hybrid deployment models in regulated or security-sensitive industries.
Strong understanding of guardrails, policy enforcement, and safe tool-calling frameworks in agentic/AI environments.
Track record of data-driven decision making, using telemetry to optimize infrastructure performance, adoption, and reliability.
Exceptional leadership and communication skills—able to align engineering, architecture, and business stakeholders around complex infrastructure decisions.
Passion for responsible GenAI and automation, with a clear vision for how trusted, scalable infra enables enterprise-wide agentic workflows on the UiPath platform.

Responsibilities

Own the long-term vision and roadmap for UiPath’s agentic automation core infrastructure, guiding major investments in AI governance, interoperability, and runtime reliability.
Evolve and scale the UiPath LLM Gateway, ensuring enterprise customers get quick, efficient and trusted access to the latest models.
Drive interoperability across models and frameworks, making it seamless to plug in and orchestrate a variety of LLMs (open-source and proprietary) within the UiPath platform.
Champion on-prem and hybrid execution, enabling customers with strict data-governance needs to run agents and core infra components securely in their own environments.
Design and deliver guardrails, ensuring agents can reliably execute tasks with enterprise trust requirements (permissions, approvals, error handling).
Advance UiPath Context Grounding capabilities, powering high-fidelity, enterprise-aware agent experiences that minimize hallucinations and maximize accuracy.
Collaborate cross-functionally with engineering, security, cloud, AI/ML, and go-to-market teams to deliver high-impact infra releases on schedule.
Define and track platform health metrics (latency, reliability, compliance coverage, model interoperability) and use data to drive iteration.
Serve as a visible leader internally and externally, articulating UiPath’s approach to safe, scalable agentic infrastructure at industry forums, partner engagements, and customer briefings.
Mentor and elevate teams on infrastructure best practices, responsible AI patterns, and scalable architecture for enterprise-grade agentic workflows