Top Tech Jobs & Startup Jobs in NYC, NY

Leads technical due diligence for prospective data center sites, evaluating electrical, mechanical, civil, structural, architectural, utility, zoning, and infrastructure feasibility. Reviews provider proposals, capacity data, conceptual layouts, and building documentation; identifies risks, upgrades, cost and schedule impacts; prepares go/no-go recommendations and technical assessments. Coordinates with utilities, landlords, developers, internal subject matter experts, and design teams, then hands secured sites to Design Managers. Frequent travel is required.

Own the strategy, roadmap, and execution for W&B Launch, infrastructure insights, and infrastructure-native developer tools integrating W&B with CoreWeave. Partner with frontier AI teams, platform engineering, and W&B engineering to improve job submission, compute orchestration, observability, and automated research workflows. Drive product concepts from discovery through launch, translate infrastructure needs into developer experiences, and measure and iterate on product impact.

Design and review data center white space infrastructure for high-density computing environments. Coordinate electrical, mechanical, cooling, low-voltage, cabling, and network pathway systems; review drawings, submittals, RFIs, and field conditions; oversee consultants; resolve design and constructability issues; and support construction, commissioning, and deployment. Contribute to design standards, scalability, technical documentation, and mentorship across CoreWeave’s data center portfolio.

Provide timely technical support through email, live chat, and forums. Triage bugs and feature requests, meet customer response SLAs, troubleshoot issues with engineering and product teams, identify documentation improvements, and build expertise in the Weights & Biases product. Participate in a 24/7 weekend on-call rotation while using Python and machine learning tools to assist customers.

Owns high-priority, cross-functional initiatives from problem definition through implementation and measurement. Responsibilities include strategic analysis, research, executive communications, end-to-end project management, PMO oversight, risk identification, stakeholder coordination, process improvement, and decision support. The role operates as an internal consulting function supporting executives and business teams across initiatives such as IPO preparation, M&A integration, product development, communications, and change management.

Lead the design and delivery of production machine learning systems for infrastructure observability, troubleshooting, and optimization. Develop anomaly detection, time-series analysis, event correlation, recommendations, ranking, and root-cause inference capabilities. Build evaluation frameworks, data pipelines, feature workflows, model-serving services, monitoring, and feedback loops. Integrate ML with telemetry platforms and customer-facing products, establish engineering standards, mentor engineers, and influence technical roadmaps across teams.

Leads systems engineering teams developing high-throughput file, block, and object storage for AI cloud infrastructure. Drives architecture, performance tuning, latency optimization, benchmarking, and 10x scaling across distributed storage systems. Provides technical mentorship, performance management, recruitment, and cross-functional leadership while maintaining a coding-focused culture and maximizing GPU utilization.

The role involves leading the Observability Insights initiative at CoreWeave, focusing on developing APIs, agentic tools, and improving telemetry for AI systems. Candidates should possess significant experience in backend engineering and observability systems, especially for multi-tenant environments.

Oversee vendor lifecycle operations, including onboarding, tax and banking verification, catalog setup, record maintenance, data cleanup, and process documentation in Coupa. Coordinate with stakeholders, procurement operations, IT, vendors, and offshore resources. Lead day-to-day offshore workloads, enforce service levels and compliance controls, resolve escalations, maintain procedures and workflow documentation, and report operational metrics to procurement leadership.

Lead and develop an infrastructure engineering team responsible for internal Kubernetes platforms and foundational services. Set roadmaps, ownership, operating practices, and success metrics; guide reliable infrastructure and automation; establish testing, observability, SLO, incident response, change management, and on-call practices; resolve cross-team dependencies; and manage hiring, coaching, performance, priorities, and risk communication.