Jobs at Cursor

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 ambiguous product projects for developer-focused AI coding tools: prototype, ship, iterate, run customer discovery, partner with engineering/design/sales, own launches and metrics, and build tooling that scales for individual and enterprise users.

Lead and scale community program operations and event logistics (Ambassadors, Campus), build and streamline infrastructure and workflows, identify and remove inefficiencies, support global program growth, and engage directly with developer community members.

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.

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.

Lead and grow a team of AI Deployment Managers to scale enterprise post-sale adoption. Own account planning, health, risk mitigation, expansion, and complex escalations. Build scalable deployment processes, guide rollout and prompt design best practices, and partner with Sales, Engineering, and Product to drive customer outcomes and product adoption.

Lead a team building high-signal evaluation datasets, developer tools, and online evaluation systems (e.g., CursorBench) to measure and improve coding agent/model quality, integrate evals into launches, deploys, and training decisions, and define metrics and guardrails.

Build platform-level primitives to enable resilient, easy-to-operate services: service provisioning, deploy tooling, workflow orchestration, and service ownership contracts. Define abstractions, developer-facing standards, and tooling that improve reliability and developer productivity across teams.

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.

Lead and build a technical curriculum function: create roadmaps, author code-focused learning content, partner with Product and Engineering for launches, define metrics for developer activation and fluency, and hire and grow a team of education engineers.

Lead go-to-market strategy and positioning for developer-focused AI product features. Own launches, craft developer-facing content, enable GTM, run growth experiments, and capture customer and competitive insights to influence product and marketing.

Build and maintain critical shared backend services (auth, webhooks, agent backends, SCM integrations). Ensure reliability, scalability, observability, and well-defined service contracts; partner with client and inference teams to improve end-to-end agent performance.

Own full-cycle technical recruiting: source, screen, interview, negotiate offers, and manage candidate experience. Partner with hiring managers, track recruiting metrics, support headcount planning and employer branding, and represent the company at events.

Manage full interview scheduling and candidate experience: coordinate interviews, host onsite candidates, keep ATS (Ashby) updated, communicate with candidates and hiring teams, partner with recruiters and hiring managers, and improve recruiting operations and processes.

Design and implement Growth team features across onboarding, monetization, and core product experience. Collaborate in a small, flat team to ship product-focused engineering that blends models, design, and usability, driving business impact through creative, user-centric solutions.

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.

Sell Cursor to high-tech engineering organizations by building account plans, prospecting into engineering and platform leaders, running technical discovery and evaluations, leading proofs-of-value, navigating enterprise security and admin requirements, closing new logos, and driving expansion across teams and regions.

Own end-to-end virtual workshop programs to educate enterprise prospects and customers: define strategy, run live operations, coordinate speakers, manage registration and lead routing, measure pipeline influence, and build repeatable processes to scale.

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.