Top Tech Jobs & Startup Jobs in NYC, NY

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, 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.

Own the full sales cycle to win new business for an AI-powered developer tool. Build pipelines, guide technical evaluations and rollouts, manage complex multi-stakeholder deals, demonstrate ROI tied to developer productivity, and influence product roadmap through customer feedback.

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 the Desktop team building Cursor's desktop client: own UI, core features, and client-side architecture. Partner with product, design, and platform to deliver high-performance, reliable developer experiences. Hire and grow fullstack engineering talent, set engineering standards, and drive cross-cutting features like async agents, local↔cloud workflows, and deep product integration.

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.

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.

Design and build core client infrastructure for Cursor's desktop app (macOS/Windows/Linux). Work on build/distribution systems, performance, reliability, instrumentation, telemetry, and internal tooling to enable fast, safe shipping of updates.

Own and grow a named enterprise book in the East by landing new logos and expanding accounts. Lead complex, multi-stakeholder sales cycles, run trials and rollouts, quantify ROI tied to developer productivity, build executive and day-to-day relationships, and partner with Field Engineering and AI Deployment to drive outcomes.

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.