Jobs at Cursor

Build and own large-scale pretraining data systems for frontier AI models, including distributed data platforms, crawling infrastructure, quality classification, filtering, deduplication, and dataset pipelines. Lead technical initiatives across teams, improve data quality and reliability, set architecture direction, mentor engineers, and translate data infrastructure improvements into measurable model performance gains.

Senior Motion Designer responsible for defining SpaceXSI’s motion language, building AI-assisted creative workflows and toolkits, producing campaigns across multiple channels, and integrating motion into product experiences. The role includes end-to-end hands-on design, creative direction of external partners, collaboration with marketing, product, engineering, and leadership, and establishing scalable motion systems for a fast-growing technology brand.

Senior Brand Designer responsible for evolving SpaceXSI’s visual identity, developing brand systems and documentation, and creating multi-channel campaigns. The role also involves building AI-assisted design workflows and toolkits, directing agencies and freelancers, partnering with marketing, product, engineering, and leadership, and presenting creative strategy to senior stakeholders. Requires strong typography, layout, art direction, systems thinking, motion awareness, and the ability to work onsite in San Francisco or New York.

Build and operate developer productivity systems across macOS, Windows, and Linux, including CI/CD, merge queues, build caching, test quarantine, observability, rollout pipelines, and automated developer-machine provisioning. Partner with backend and infrastructure teams to improve local testing, debugging, and development-CI parity. Contribute code, review implementations, and set technical direction to improve engineering velocity, reliability, and maintainability.

Build and maintain client infrastructure for high-performance desktop applications. Responsibilities include developing shared abstractions, build and distribution systems, observability and telemetry foundations, performance instrumentation, reliability improvements, internal developer tooling, and evaluating Electron versus native approaches. The role partners with product teams to accelerate releases and ensure stable, reliable desktop experiences for developers.

Build and operate scalable backend services supporting authentication, agent workflows, webhooks, source control integrations, and end-to-end reliability. Design robust service abstractions, high-throughput event delivery, retry and dead-letter queue systems, and observability capabilities. Partner with client and inference teams to improve performance and reliability across AI-powered developer workflows.

Build and maintain Bugbot, an AI code review product. Responsibilities include launching full-stack features, improving model integration and agent orchestration, evolving review pipelines, creating code review and CI/CD integrations, monitoring quality and reliability, improving onboarding, and partnering with ML, infrastructure, and product teams to scale adoption.

Build and operate large-scale compute infrastructure for agent sandboxes, including microVM virtualization, control-plane scheduling, VM data snapshotting, egress proxying, network isolation, and resilient hybrid cloud/on-premises systems. The role involves scaling clusters to support up to one million concurrent VMs and requires onsite work in San Francisco or New York.

Build secure systems for AI development, including AI-assisted code review, least-privilege cloud access, secure agent environments, protections for agent tool calls and command execution, and safeguards against inappropriate data logging. The role requires strong software engineering skills, security expertise, vulnerability anticipation, secure-by-default thinking, and end-to-end ownership in a fast-moving environment.

Build platform-level infrastructure for service provisioning, deployment, workflow orchestration, and service ownership. Develop durable workflow abstractions, declarative service configuration, deployment tooling, and service catalogs that improve developer experience and production reliability across the organization.

Build full-stack applications, infrastructure, and reusable platforms that help AI researchers run experiments, analyze results, and understand model behavior. Own product areas from user needs through design, implementation, and iteration; create data-facing tools and intuitive interfaces; and collaborate closely with researchers to rapidly prototype and deliver reliable solutions.

Build scalable enterprise platform infrastructure for organization management, IAM, RBAC, policy enforcement, provisioning, audit logging, compliance, administrative APIs, and security controls. Partner with product, security, and infrastructure teams to create secure, correct, multi-tenant abstractions. The role requires end-to-end ownership spanning database schemas, APIs, admin tooling, user interfaces, and documentation, with onsite work in San Francisco.

Build large-scale data platforms, crawling systems, and pipelines that transform web, code, multimodal, and acquired data into training-ready datasets for frontier models. Responsibilities include improving data quality, lineage, observability, crawling coverage, parsing, scheduling, and pipeline reliability. The role also involves training high-throughput data classification and filtering models, running data-mixture experiments, and partnering with research and acquisition teams to improve model training outcomes.

Build and operate core ML platform infrastructure for researchers and product engineers. Responsibilities include developing reliable distributed systems, data and ingestion pipelines, scheduling and orchestration systems, observability tooling, GPU cluster infrastructure, and developer-facing platform capabilities. The role partners closely with ML research, owns system reliability and performance, and operates in a high-ownership, in-person environment.

Build and ship user-facing software for Grok Bot, Cloud Agents, Cursor, and supporting systems. Responsibilities include improving interfaces for AI-generated code and pull requests, rapidly prototyping ideas, delivering contained frontend and backend features, and refining products based on user feedback. The role emphasizes engineering quality, attention to detail, first-principles reasoning, ownership, and effective use of AI tools.

Build and evolve billing systems spanning usage metering, subscriptions, entitlements, Stripe integrations, invoicing, and financial ledgers. Develop billing APIs and internal tools, improve observability and reconciliation, enforce accuracy and correctness, and support new pricing models. Partner with product, infrastructure, finance, and customer success teams to deliver end-to-end billing features. This is an onsite individual contributor role in San Francisco or New York.

Build and operate foundational cloud and networking infrastructure, including Kubernetes clusters, service mesh, autoscaling, ingress, multi-region deployments, edge security, traffic management, and compute platforms. Own infrastructure cost attribution and optimization, regional deployment strategy, and platform unification across cloud providers. Develop reliable, reproducible infrastructure that enables engineering teams to self-serve production deployments.

Architect, implement, and deploy enterprise-grade software features end-to-end, helping large organizations adopt and scale with Cursor. The role requires building and shipping software products, with an emphasis on entrepreneurial impact, AI transformation, product quality, design, usability, and creative tool development. Candidates participate in technical interviews and an onsite project evaluation.

Design and scale SpaceXSI’s storage architecture, including partitioned databases, query attribution and guardrails, data-store selection strategies, and cache infrastructure. The role focuses on database reliability, performance, migrations, capacity planning, monitoring, and operational excellence for systems supporting high-growth products and engineering teams.

Own end-to-end integrated B2B enterprise campaigns across content, email, digital, field, events, social, direct mail, and sales channels. Develop campaign strategy, messaging, audience segmentation, ABM programs, measurement frameworks, and operating processes. Partner with product marketing, sales, customer marketing, analytics, field, and leadership to generate demand, accelerate pipeline, support strategic accounts, and optimize performance across enterprise and technical buyer audiences.