AI Code Editor · San Francisco
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
Cursor has over a million daily active users, from individual developers to organizations with tens of thousands of engineers. The dashboard is how all of them understand what's happening: usage, costs, team activity, agent performance, and the settings that shape their Cursor experience.
As a Product Manager for Dashboard, Analytics & Insights, you will own the surfaces that sit between Cursor and the people who manage it. Today that's a set of usage metrics, billing views, and team settings. Tomorrow it needs to serve enterprise administrators tracking agent activity across thousands of seats, individual developers tuning their setup, and new users getting started for the first time. As Cursor evolves from a single editor into multiple products—IDE, Cloud Agents, CLI, BugBot, Marketplace—the dashboard has to keep up.
Designing and evolving the analytics and usage metrics surfaced to users: what developers and administrators see about their Cursor usage, agent activity, model consumption, and team patterns. The current set of metrics is a starting point—you'll decide what's missing and what's noise.
Evolving the set of experiences for managing and customizing your Cursor experience: settings, preferences, Cursor Rules, model selection, and the controls that let individuals and teams make Cursor work the way they want.
Building the future of onboarding in Cursor: how a new developer goes from download to productive. How a team of 3,000 engineers rolls out Cursor with the right defaults, rules, and permissions from day one.
Designing how permissions and roles management works as the product continues to evolve into multiple products and more complex organizations: who can spin up cloud agents, who can access which models, how billing administrators differ from team leads, and how all of this scales without becoming a maze.
Building enterprise insights: the dashboards and reports that help engineering leaders understand adoption, productivity impact, and ROI across their organization.
Defining the data model underneath all of this: what we track, how we attribute usage, and how we make that data available to users without overwhelming them.
You have built dashboards, analytics products, admin consoles, or settings experiences—ideally for developer tools or technical products.
You understand the difference between surfacing data and making it useful. You've shipped metrics and reporting that people actually look at.
You have experience with onboarding flows that work at both individual and organizational scale.
You've designed permissions and roles systems, or worked closely on products where access control had to evolve alongside the product.
You think carefully about defaults. You know that most users never change their settings, so the defaults have to be right.
You are comfortable with ambiguity. This area touches billing, security, enterprise, and product—you'll need to form opinions across all of them.
You move fast, communicate clearly, and are comfortable owning a broad surface area with many stakeholders.
If there appears to be a fit, we'll reach out to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.