Jobs at Cursor

Lead day-to-day support systems and workflows: manage ticketing, routing, queues, labels, escalations, and intake. Triage urgent issues, prioritize requests, drive technical/operational programs end-to-end, partner with engineering/data/IT, and use Cursor and AI-native workflows to reduce toil and improve system reliability.

Post-sale, hands-on role embedding Cursor into strategic enterprise engineering teams: configure environments, design workflows, run enablement, lead architecture reviews, drive adoption and expansion, measure engineering impact, and feed product insights from lighthouse customers.

Own a named book of enterprise accounts across Singapore; run full-cycle sales from prospecting to close; build account strategies; create pipeline; partner with Sales Engineering, Product, and Customer Success; navigate complex procurement and legal processes; meet revenue targets and help establish Cursor's enterprise presence in the region.

Own Salesforce and adjacent sales systems support for a rapidly scaling GTM organization. Triage and resolve issues, debug with logs, improve UX, detect patterns in support volume, and build scalable agentic automations and system-level fixes. Document solutions and reduce recurring tickets.

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.

Sell Cursor's AI-powered developer tools into federal agencies by owning a named book of large accounts, driving new agency acquisition and expansion, navigating complex federal procurement and security reviews, partnering with engineering and deployment teams to deliver trials through production, and influencing product and compliance roadmap based on federal customer needs.

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.

Lead GTM strategy and operations for ANZ, building go-to-market infrastructure from scratch (forecasting, territory design, quotas), partnering with GTM leadership and cross-functional teams, driving strategic analyses, regional business reviews, and high-impact projects to scale the revenue organization.

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.