Top Tech Jobs & Startup Jobs in NYC, NY

Lead go-to-market and technical strategy for AI developer tooling, winning early customers and building repeatable playbooks. Translate customer MLOps requirements into product feedback, partner with engineering and Weights & Biases, and enable sales/solutions teams to close deals around experiment tracking, model governance, and LLM observability.

Act as the named technical partner for prospective customers, design demos and end-to-end PoCs, advise on best practices for AI workloads, collaborate with Sales and Field Engineering, and influence product roadmap based on customer needs to drive adoption and production deployment of LLM-powered applications.

Lead and grow strategic partnerships across the Physical AI stack (robotics, simulation, autonomous systems). Drive joint product integrations, co-innovation, go-to-market motions, co-sell opportunities, and partner-aligned roadmaps with NVIDIA and key platform/OEM partners. Influence Product and Engineering requirements, execute quarterly business plans, and represent CoreWeave at industry events to accelerate revenue and market adoption.

Lead incident response and threat hunting efforts at CoreWeave, owning cybersecurity incidents end-to-end and developing AI-powered tools to enhance defense against threats.

Lead category strategy, RFPs, negotiations, and supplier selection for data center infrastructure equipment and services. Manage supplier KPIs, risk mitigation, procurement delivery, and cross-functional coordination with engineering, construction, supply chain, and finance. Support construction schedules, logistics, Workday receiving, and continuous process improvement to meet rapid data center growth.

Lead and build a global deal desk to structure, approve, and orchestrate complex enterprise and strategic deals. Define operating model, playbooks, systems, and governance; partner with Legal, Revenue Accounting, Finance Pricing, and sales to ensure pricing quality, contract governance, accurate quoting/booking, fulfillment, and compliant revenue recognition.

Leads a full-stack Fleet Engineering team building Go and React/TypeScript tools for hardware ticketing, technician repairs, and fleet inventory workflows. Owns hiring, team development, product delivery, release cadence, reliability, observability, incident response, architecture, and cross-team APIs. Partners with operations stakeholders to improve data center hardware lifecycle management and fleet efficiency.

Leads GPU capacity planning within FP&A, managing financial forecasts, budgets, capital expenditure models, infrastructure reporting, and unit economics across computing assets. Partners with engineering, operations, capacity planning, fleet, and supply chain teams to track KPIs, optimize infrastructure investments, and improve forecast accuracy. Produces variance, scenario, stress-test, and executive reports while supporting fixed asset accounting process improvements.

Owns end-to-end delivery of data center network infrastructure, including fabric turn-ups, backbone deployments, and peering expansions. Translates capacity forecasts and architecture into technical program requirements, plans, schedules, and dependencies. Leads cross-functional execution across networking, architecture, supply chain, and data center operations; resolves hardware, optics, cabling, and automation issues; reports risks and KPIs to leadership; and establishes scalable deployment processes.

Develop and maintain firmware for embedded systems, collaborate with teams, troubleshoot issues, optimize performance, and mentor junior engineers.