Top Tech Jobs & Startup Jobs

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.

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.

Own the complete enterprise sales cycle for Cursor, from outbound prospecting through close. Build pipeline, acquire new logos, exceed revenue targets, develop executive and technical stakeholder relationships, guide product trials and rollouts, quantify ROI, execute sales strategies, analyze market trends, and provide customer feedback to influence the product roadmap.

Own a portfolio of commercial SaaS customers, driving expansion, adoption, net revenue retention, and renewals. The role involves multi-threading with technical and product leaders, managing usage-based commitments, leading renewal negotiations, cross-selling platform capabilities, and developing account tiering strategies. The Account Executive will translate rapidly changing AI products, models, and pricing into customer value narratives while partnering with Product, Support, RevOps, and Sales Leadership.

Leads and scales a founding commercial sales team serving high-value digital-native businesses. Responsibilities include coaching account executives, creating repeatable high-velocity sales processes, establishing forecasting practices, partnering with RevOps and GTM leadership, coordinating cross-functional account handoffs, hiring and onboarding talent, and shaping strategy for a new business segment.

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.