Top Tech Jobs & Startup Jobs in NYC, NY

Owns end-to-end physical data center network implementation for hyperscale AI infrastructure, including fiber plant architecture, transceiver planning, structured cabling, optical link budgets, port-to-fiber mapping, and DCIM integration. Collaborates with construction, power, cooling, and design teams; develops technical specifications, SOPs, and basis-of-design documents; and plans cabling and optics across multiple hardware generations.

Build and manage a global spare-parts sourcing program for critical data center equipment. Responsibilities include qualifying and dual-sourcing suppliers, negotiating pricing and inventory agreements, setting stocking levels and reorder points, forecasting demand using failure data and maintenance schedules, and maintaining accurate parts and supplier records across sites and regional depots.

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.

Own network delivery programs for data center site activations, ensuring structured cabling, optics, switches, routers, circuits, and vendor integrations meet launch schedules. Define network readiness gates and acceptance criteria, coordinate engineering, operations, deployment, supply chain, and external partners, and manage risks, incidents, corrective actions, and vendor performance across the site fleet. The role requires 50% travel.

Own the contractor and extended workforce program from intake through offboarding. Manage staffing vendors, maintain compliant worker classification and onboarding processes, advise hiring managers on workforce solutions, improve vendor management systems and workflows, and partner with Legal, Finance, and IT on escalations, controls, reporting, and data protection.

Own Fluidstack’s corporate development pipeline, from sourcing and underwriting through negotiation and close. Structure bespoke transactions including joint ventures, minority investments, convertibles, warrants, and acquisitions. Evaluate strategic and financial returns across power, land, supply chain, and infrastructure, negotiate governance and control terms with principals and counsel, and align executives and operating teams around completed deals.

Leads Fluidstack’s FP&A function, including annual planning, forecasting, long-range modeling, scenario analysis, board and investor reporting, KPI development, variance analysis, IPO readiness, and FP&A systems implementation. Partners with executive leadership and cross-functional teams to guide capital allocation and growth decisions while building a high-performing finance organization and scalable financial processes.

Build production AI-powered software for hiring, finance, capital planning, contract analysis, and operational workflows. Develop LLM features, MCP servers, and agentic systems; embed with finance, legal, recruiting, accounting, and operations teams; translate expert workflows into structured data and automated processes; and ship autonomous, user-friendly products rapidly.

Build AI-powered software automating hiring, finance, capital planning, contract analysis, and operational workflows. Develop production features using LLM APIs, MCP servers, and agentic frameworks; integrate enterprise systems; transform expert processes into structured data and generated work; and collaborate directly with finance, legal, recruiting, accounting, and delivery teams. The role emphasizes autonomy, rapid execution, product judgment, and forward deployment with business experts.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.