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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.

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.

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, 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.

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.

Build and own enterprise-grade organization management, RBAC/authorization, audit logging, enterprise policies, admin APIs, and compliance features. Design scalable, secure multi-tenant platform primitives and tooling to support large organizations.

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.