Jobs at Cursor

Own strategic consulting and systems integrator partnerships, driving co-sell execution, partner enablement, pipeline generation, pilot-to-production deployments, adoption metrics, and joint go-to-market initiatives. The role manages executive and working-level relationships, coordinates cross-functional teams to resolve deployment blockers, and turns partnerships with major consultancies and global SIs into scalable revenue and production adoption.

Design and scale the security governance, risk, and compliance program. Automate evidence gathering and control testing, manage audit and customer relationships, conduct product and vendor compliance reviews, support security and AI governance contract terms, assist with incident communications, build self-service customer security tools, and maintain corporate security policies.

Build full-stack research tools for creating, reviewing, submitting, and monitoring reinforcement-learning environments and tasks. Own review and acceptance workflows, rollout and transcript inspection, quality signals, versioning, catalog experiences, and self-service authoring interfaces. Collaborate with researchers, vendors, and domain experts to improve training-data quality and accelerate the path from task ideas to trusted training data.

Build scalable platforms and pipelines that transform real-world, vendor, tutor, acquired, and synthetic data into realistic reinforcement-learning environments and tasks. Develop self-service APIs, tooling, automated quality checks, and data validation layers for internal and external contributors. Partner with research and ML platform teams to translate model capabilities into effective training environments and ensure trustworthy data production at scale.

The Deal Desk Analyst partners with sales, legal, finance, and revenue operations to structure, negotiate, and close complex enterprise deals. Responsibilities include advising on pricing and contract strategy, evolving pricing frameworks, analyzing deal trends, leading approval and contracting process improvements, developing sales enablement, and scaling deal desk operations. The role requires balancing high-volume deal execution with strategic cross-functional initiatives.

Build and maintain full-stack internal GTM applications for sales, customer success, and revenue operations. Own product surfaces such as account intelligence, pricing, forecasting, and data APIs from user discovery through production. Partner with business and data teams, improve reliability and UX, maintain shared infrastructure, troubleshoot applications, and use AI tooling to enhance development and user-facing products.

Build and ship product features across user-facing interfaces and backend systems for AI coding products. New graduates will own work end to end, improve product quality, prototype ideas, fix bugs, and collaborate with a small, high-ownership engineering team. Candidates should demonstrate strong engineering fundamentals, sound judgment using AI tools, fast learning, and an exceptional technical project or shipped product.

Leads and scales the strategic enterprise sales organization for the HiTech segment. Responsibilities include hiring and developing sales leaders, setting territory strategy, driving new-logo and expansion revenue, managing forecasting and pipeline health, engaging executive stakeholders, coaching complex technical sales cycles, and building repeatable enterprise sales playbooks. The role partners with engineering and AI deployment teams to support evaluations, deployments, and customer expansion while shaping go-to-market strategy and product direction.

Own and scale full-funnel paid acquisition across search, social, video, retargeting, and developer-focused platforms. Manage campaign strategy, budgets, targeting, bidding, creative and landing-page testing, attribution, and conversion measurement. Analyze cohort and funnel performance, improve CAC and payback, and communicate insights through reporting. Collaborate with creative, marketing, sales, lifecycle, data, and engineering teams to improve lead quality, signups, pipeline, and revenue.

Develop and execute top-of-funnel paid media campaigns across television, podcasts, out-of-home, streaming, sponsorships, and emerging channels. Own media planning, budgeting, buying, negotiations, vendor relationships, creative coordination, testing, and measurement. Evaluate brand awareness, consideration, reach, demand, and campaign impact through brand-lift studies, incrementality analysis, geographic testing, and media mix modeling. Communicate insights and recommendations to leadership while identifying high-impact audiences, markets, cultural moments, and emerging opportunities.

Build and operate ML platform infrastructure supporting researchers and product engineers. Responsibilities include designing distributed systems, data pipelines, observability tools, scheduling and orchestration infrastructure, and GPU fleet systems. The role partners closely with ML research, owns reliability and performance, improves developer experience, and ships platform primitives in a high-ownership environment.

Design and iterate task sets, rewards, and environments for coding agents. Analyze agent traces and evaluations to identify failure modes, build systems to surface recurring behaviors, and convert one-off solutions into reusable training infrastructure and high-quality datasets. Partner with research teams to validate that datasets teach intended capabilities. The role requires strong software engineering fundamentals and comfort with infrastructure, data, or distributed systems.

Build large-scale data systems for frontier coding-model pretraining across data quality, data platform, or web crawling. Responsibilities include developing high-throughput pipelines, training and deploying data-quality models, orchestrating reproducible datasets, improving crawl coverage and parsing, and hardening distributed infrastructure. The role requires independent end-to-end ownership, performance optimization, observability, experimentation, and close collaboration with research, training, acquisition, and engineering teams.

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.

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.

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.

Design and build security features across product, cloud, and infrastructure. Anticipate vulnerabilities, implement secure defaults, enable developer-friendly security, and ship robust protections for code, agents, and tooling.

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, 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.