Jobs at Cursor

Senior IC for GTM analytics who builds and owns GTM data models, pipelines, and a semantic layer; runs deep analyses on funnel, conversion, forecasting, quota, and retention; partners with product data and engineering to ensure consistent data and operationalized metrics for non-technical stakeholders.

Lead an engineering team building scalable ML training, evaluation, and rollout infrastructure. Set technical direction, debug systems with researchers, design eval pipelines, ensure reproducible environments, and hire and mentor engineers to improve model development velocity and quality.

Own Marketing Finance end-to-end as the primary finance partner to Marketing leadership: manage headcount and program spend, build top-of-funnel and pipeline models for planning and forecasting, design ROI and efficiency frameworks, deliver insight-driven reporting, and collaborate with Data and RevOps to create measurement infrastructure. Start as an IC with a clear path to hire and lead a team. Must be full-time onsite in SF or NY.

Build hands-on technical learning content (labs, tutorials, workshops, demos, reference implementations) using Cursor to enable developer adoption; lead workshops; partner with Product, Engineering, DevRel, and Field teams; measure adoption and improve educational formats.

Design and own Cursor's storage layer: databases, caches, and multi-database topology. Build sharding, migrations, query instrumentation, cache infrastructure, and guidance for choosing storage engines to ensure reliability, performance, and scalable operations.

Build platform primitives for service provisioning, deploy tooling, workflow orchestration, and service ownership at Cursor. Improve developer experience and production reliability by creating shared abstractions, declarative service configuration, durable workflows, and a service catalogue to speed provisioning and incident resolution.

Own strategic customer engagements from discovery through delivery: scope time-boxed AI/LLM projects with executives, lead technical discovery, configure workflows and integrations, enable adoption through training and playbooks, monitor feasibility, surface expansion opportunities, and escalate product gaps to Product and Engineering.

Partner with Sales leadership, Recruiting, and Revenue Operations to lead headcount planning, own sales capacity/productivity models, produce monthly reporting and leadership dashboards, and manage the consolidated Sales-led P&L tying headcount and spend to bookings, ARR, revenue, and margins.

Build tooling to automate coding for professional programmers by combining research, design, and engineering. Work in a small, flat, high-talent team, engage in creative problem-solving, debate ideas, and ship production-quality code.

Design, implement, and deploy end-to-end enterprise-grade features for an AI-enhanced product aimed at professional programmers. Work closely with research, design, and engineering to build scalable tooling for large organizations and ship production-quality software.

Design and build core product software (the editor) for professional programmers. Invent new interfaces and UX for AI-assisted code workflows, run experiments and A/B tests at scale, rapidly prototype new product verticals (e.g., AI bug detection), and ship high-quality features within a small, collaborative engineering team.

Design, build, and operate ML-focused data infrastructure and pipelines that capture telemetry and model signals. Own, refactor, or replace systems for correctness, privacy, consistency, cost, and maintainability. Instrument new product surfaces, fix gaps, implement schema evolution and validation, and optimize storage/retention to support model and product teams.

Own the full sales cycle to win new business for an AI-powered developer tool. Build pipelines, guide technical evaluations and rollouts, manage complex multi-stakeholder deals, demonstrate ROI tied to developer productivity, and influence product roadmap through customer feedback.

Lead and scale a Forward Deployed Engineering team embedding with enterprise customers to build production-grade AI-native workflows. Own delivery quality, stakeholder relationships, scoping, executive technical sponsorship, deal strategy, hiring, coaching, and partner enablement to ensure fast, repeatable, high-impact engagements.

Lead the Desktop team building Cursor's desktop client: own UI, core features, and client-side architecture. Partner with product, design, and platform to deliver high-performance, reliable developer experiences. Hire and grow fullstack engineering talent, set engineering standards, and drive cross-cutting features like async agents, local↔cloud workflows, and deep product integration.

Embed with customer engineering teams to discover bottlenecks, design and ship Cursor-powered AI-native workflows end-to-end, ensure production reliability, monitor and iterate, and push reusable patterns back to the core product.

Build distributed training, inference, and RL infrastructure; create libraries for large-scale data jobs; architect systems converting user data into training data; collaborate with researchers to accelerate iteration and reproducibility.

Design and build core client infrastructure for Cursor's desktop app (macOS/Windows/Linux). Work on build/distribution systems, performance, reliability, instrumentation, telemetry, and internal tooling to enable fast, safe shipping of updates.

Own and grow a named enterprise book in the East by landing new logos and expanding accounts. Lead complex, multi-stakeholder sales cycles, run trials and rollouts, quantify ROI tied to developer productivity, build executive and day-to-day relationships, and partner with Field Engineering and AI Deployment to drive outcomes.

Build and improve large-scale GPU compute, storage, and software infrastructure to support training of agentic coding models. Work with ML researchers, cloud/OEM partners to design GPU clusters, improve training throughput, reliability, scheduling, data movement, automation, and developer experience across cloud and bare-metal environments.