Principal Product Management, Agentic Automation

UiPath•Bellevue, WA

1d•$220,000 - $255,000

About The Position

We're seeking a Principal Product Manager to join our team to help advance our Agentic Automation vision. You'll drive product direction across how coding agents build and operate automations on UiPath, how UiPath's own coding agents and Autopilots are extended, and how non-deterministic agents (conversational, autonomous, computer use) take on tasks inside complex business processes — including the emerging patterns the industry is still inventing: skills and tool surfaces for external coding agents like Claude Code, agent-to-agent handoffs, human-in-the-loop checkpoints, composing deterministic workflows with non-deterministic reasoning, evals and observability for agent behavior, and more. This is a high-agency, AI-native role. You will not be running status meetings. You will be deep in the product: testing, prototyping with coding agents, talking to customers and FDEs, and turning what you learn into crisp direction for the engineers building it. Influence, not headcount, will be your default leverage. Your north star will be builders shipping automations faster with agents reliably carrying real work in production: capable enough for the most ambitious processes, and dependable enough that enterprises trust them with non-deterministic tasks.

Requirements

8+ years in technical PM or eng roles with specific emphasis on automation, workflow/orchestration platforms, developer platforms, or applied agentic AI.
Proven track record of shipping infrastructure that builders rely on.
Prior experience building business process orchestration, workflow engines, or agent platforms. You've designed the systems that coordinate work across steps, services, and actors.
Deep fluency in agentic AI: tool-calling, MCP, coding agents, agent design patterns, computer use, evals and observability. You can read an agent trace and immediately see what's wrong with it.
A clear view on how deterministic automation and non-deterministic agents should compose, and where each belongs in a real business process.
Builder posture, AI-native. You write code (or prompt agents to) to test ideas and ship prototypes. You treat coding agents as leverage. You do not simply write specs or decks and wait.
First-principles thinker, comfortable in ambiguity. Can produce a defensible direction in days, not quarters.
Sharp communicator: a position doc that inspires bold decisions, a technical explanation a skeptical architect trusts, a demo that closes the room.
Comfortable with regulated, on-prem, and hybrid environments.

Nice To Haves

Built automation, orchestration, developer-platform, or agent products at a frontier lab, hyperscaler, RPA/automation vendor, or as an early PM at a startup in the space.
Has gone 0 → 1 and felt the weight of it. Startup or founding PM style experience strongly preferred.
Has opinions about where agentic automation is going in the next 24 months, with receipts

Responsibilities

Own the multi-year vision for how agents (UiPath's and third-party) build and operate automations across the platform.
Extend UiPath to work with external coding agents: design the skills, tools, and APIs that let agents like Claude Code author, run, and debug automations against the platform.
Help evolve UiPath's own coding agents (AutoPilots): what they can build, how they reason about a process, and how they hand off to humans and to other agents.
Define how non-deterministic agents (conversational, autonomous, computer use) slot into complex business processes alongside deterministic workflows, with clear contracts for when each is used.
Partner with the largest and most demanding customers on production deployments. Go deep enough to know which specific step failed and what would fix it.
Use the platform as a builder. Stand up agents, wire them into real processes, use coding agents aggressively to prototype and ship reference implementations. If you need a working example to make a point, build one.
Translate the fast-moving agent landscape (tool/skill ecosystems, orchestration frameworks, evals, computer-use models) into a coherent UiPath point of view and a shipping product.
Define the metrics that matter (e.g. task success rate, time-to-build automation, human interventions per run, agent reliability in production) and prioritize ruthlessly.
Represent UiPath's agentic automation story externally with customers, partners, and industry forums.