Top Tech Jobs & Startup Jobs in NYC, NY

Lead cross-functional programs for inference platform delivery, customer onboarding, launch readiness, and runtime optimization. Drive roadmap outcomes for latency, throughput, uptime, and price-performance. Build metrics, dashboards, launch gates, and repeatable processes for release validation, performance regression tracking, and postmortems. Align Engineering, Product, Infrastructure, and GTM teams to deliver reliable, scalable inference services and operational excellence.

The Regional Director will lead operations across multiple data centers, ensuring performance, reliability, and operational excellence while managing budgets and supporting teams. They will oversee incident responses, capacity planning, and vendor performance, ensuring standards and compliance are met.

Support capacity planning and infrastructure investment decisions through forecasting, financial and operational modeling, variance analysis, KPI tracking, and cross-functional partnership. Translate operational inputs into CapEx, depreciation, cost of revenue, cash flow, and margin impacts. Prepare reporting and commentary for finance leadership and improve model controls and planning processes.

Contract senior-level talent sourcer supporting executive and senior hires across Operations, IT, Revenue/GTM, Marketing and G&A. Build executive pipelines, conduct deep market research and talent mapping, craft personalized outreach using AI sourcing tools, track outreach metrics, partner with recruiters and hiring leaders, qualify candidates, and drive search strategy and execution for fast-moving, infrastructure-focused roles.

Design, build, and operate Go-based distributed services for GPU data center infrastructure. Develop automation for hardware discovery, lifecycle management, health monitoring, remediation, BMC and firmware workflows, observability, and fleet-scale operations. Lead architecture and incident-driven reliability improvements while collaborating across infrastructure, hardware, and operations teams. Provide technical leadership through design reviews, mentorship, and strategic engineering guidance.

Develop, deploy, monitor, and improve services managing bare-metal infrastructure. Lead incident response, root-cause analysis, post-incident reviews, observability, automation, reliability engineering, disaster recovery, and on-call support. Build CI/CD pipelines, dashboards, alerts, and hardware lifecycle tooling using Go or Python, Kubernetes, Prometheus, Grafana, and Redfish-based services. Collaborate with engineering, fleet operations, vendors, and upstream communities to improve platform stability and reduce operational incidents.

Leads and develops a regional Solutions Architecture team responsible for complex customer deployments across cloud and on-premises environments. The role combines people management with hands-on architecture reviews, infrastructure troubleshooting, technical escalations, customer workshops, and deployment planning. It owns regional coverage, hiring, performance management, reusable Terraform and Helm assets, runbooks, enablement, and feedback to Product and Engineering. Required expertise includes Kubernetes, Docker, cloud platforms, networking, Linux, Python, infrastructure as code, SaaS, and customer-managed deployments.

The Senior Software Engineer will design and build secure sandboxed runtime environments for Kubernetes, focusing on GPU workloads and ensuring performance and security in multi-tenant configurations.

Owns commercial and technical strategy for CoreWeave Omni, a managed cloud region deployed in customer or partner facilities. Identifies and qualifies enterprise, partner, and sovereign AI opportunities; structures complex multi-year deals; engages executives; and coordinates engineering, operations, legal, and finance. The role develops deployment, SLA, capacity, licensing, and partner-resell frameworks while translating customer requirements around sovereignty, residency, and delivery into product roadmap feedback.

Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.