Top Tech Jobs & Startup Jobs

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.

Lead go-to-market strategy and positioning for developer-focused AI product features. Own launches, craft developer-facing content, enable GTM, run growth experiments, and capture customer and competitive insights to influence product and marketing.

Lead an APAC-shift billing team of ~10 agents and own org-wide programs (QA, training, escalations, hiring). Manage queue health, escalations, coaching, metrics (TTR, CSAT, QA), and collaborate with Product, Engineering, and Finance to resolve billing, subscription, and dispute issues. Build QA rubrics, training, escalation playbooks, and run performance calibrations.

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.

Lead go-to-market for incubation products: validate customer demand, shape positioning, run discovery, own complex opportunities, drive technical and executive sales, and help build repeatable business motions across Product, Engineering, and Sales.

Post-sale, hands-on Solutions Architect embedded in strategic enterprise accounts to configure environments, design AI-native developer workflows, run enablement, debug CI/CD, lead architecture reviews, drive adoption and expansion, advise engineering leaders on rollout and governance, and feed product/engineering with strategic customer feedback.

Post-sale, hands-on Solutions Architect working with strategic enterprise engineering accounts to configure environments, design AI-native developer workflows, run enablement, integrate Cursor into production CI/CD and platform tooling, drive adoption and expansion, lead architecture reviews, and translate usage into measurable engineering outcomes.

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 and grow an infrastructure engineering team that builds and operates cloud, networking, storage, and compute platforms. Own Kubernetes clusters, geo-deployment strategy, edge/security and CDN/WAF, storage systems (Postgres/OLAP/ClickHouse), cost optimization, and a unified container orchestration platform while hiring, mentoring, and contributing code.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.