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.

Drive revenue by owning full sales cycles for developer-focused AI SaaS. Build pipeline, close new logos, manage multi-threaded deals across engineering, product, security, procurement and legal, quantify ROI for developer productivity, influence roadmap, and refine sales playbooks.

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.

Partner with GTM leaders to design talent strategy and own end-to-end recruiting for Sales, Field/solutions engineering, Customer Success, Partnerships, Revenue Ops and GTM leadership. Source, assess, close candidates, provide market intelligence, improve interview design, and build scalable recruiting programs and metrics-driven processes.

Senior HR Business Partner supporting Finance, Legal, Marketing, Operations, and People. Acts as strategic advisor and hands-on builder to drive org design, talent strategy, performance management, leadership coaching, employee experience, and scalable People infrastructure while navigating high-stakes decisions and rapid growth.

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.

Drive top-of-funnel growth through high-volume outbound prospecting (calls, email, LinkedIn). Research accounts, qualify prospects through discovery, collaborate with AEs on account strategy, meet activity and meeting targets, capture market feedback, and help build the SDR playbook.

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 cross-functional infrastructure programs to attribute COGS and R&D spend, optimize GPU and compute allocation, build capacity forecasting and cost dashboards, partner with ML, Infra, and Finance to drive data-driven resource decisions and execute measurable cost-efficiency outcomes.

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.

Coordinate end-to-end new hire experience and onboarding, maintain HRIS data integrity in Rippling, generate HR documents, respond to employee inquiries, support People team projects, and handle confidential information with discretion.

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.