Top Tech Jobs & Startup Jobs in NYC, NY

Leads complex datacenter network infrastructure deployments across engineering, operations, vendors, and business stakeholders. Defines technical solutions, success criteria, risks, schedules, staging plans, implementation plans, metrics, and governance reporting. Manages roadmaps, field engagements, customer support, stakeholder expectations, budgets, contracts, and continuous-improvement initiatives while ensuring secure, reliable infrastructure delivery.

Leads complex network infrastructure and bare-metal deployment programs across datacenter environments. Partners with engineering and operations teams to design field-deployable solutions, manage roadmaps, schedules, budgets, contracts, risks, governance, stakeholder relationships, and performance metrics. Coordinates cross-functional teams and vendors, drives field deployments, supports high-security networks, and improves processes and execution.

Owns Microsoft’s Americas Telco partner strategy, sales performance, forecasting, and operating model across the United States, Canada, and Latin America. Drives partner growth in Microsoft AI, Azure, Microsoft 365 Copilot, Teams Phone, and Operator Connect. Builds executive relationships with Telco partners, aligns Microsoft field organizations, leads co-sell motions, governs KPIs and business reviews, and expands partner technical capabilities, investments, and cloud consumption.

Leads AI-first operating model transformation across cross-functional teams. Defines future-state workflows, requirements, and roadmaps; develops evidence-based strategies; manages agile workstreams; advises business, technology, HR, and Finance stakeholders; embeds change management; conducts experiments; and presents recommendations to senior executives. The role focuses on reimagining work, scaling effective AI-enabled operating models, and advancing organizational adoption of AI-first practices.

Lead consultative, value-driven enterprise sales to plan, orchestrate, and deliver AI Workforce solutions (Copilot, Windows 365, Viva, Agents). Build stakeholder strategies, drive pipeline, cross-sell/up-sell, and partner with internal teams to scale AI adoption and measurable business outcomes.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Leads enterprise sales for Microsoft Azure cloud and AI platforms. Develops customer-specific sales strategies, qualifies and closes complex opportunities, manages pipelines and forecasts, coordinates partners and internal teams, and advises stakeholders on AI-driven cloud transformation. Uses market intelligence, consumption data, and predictive analytics to drive adoption, expansion, renewals, and customer value. Requires strong consultative selling, enterprise relationship management, and knowledge of Azure infrastructure, data, and AI application platforms.

Leads global developer and GitHub sales and technical enablement strategy. Owns role-based skilling, onboarding, readiness planning, product launches, learning journeys, and field community development for Microsoft and GitHub specialists, sellers, partners, and customers. Collaborates across engineering, product marketing, sales, finance, and learning teams to improve capability, content adoption, seller productivity, pipeline, revenue, usage, and customer outcomes.

Leads Azure capacity automation and backend tooling programs across Engineering, Finance, Operations, and capacity planning teams. Translates business needs into requirements, user stories, acceptance criteria, and workflow specifications; manages dependencies, risks, governance, and delivery. Improves processes through automation, data analysis, reporting, and AI-powered solutions such as Microsoft Copilot. Drives stakeholder alignment, change adoption, data quality, documentation, and operational excellence across capacity allocation and prioritization workflows.

Build and govern a repeatable portfolio of AI and enterprise transformation offers. Responsibilities include assessing market demand, competitive positioning, and Microsoft roadmaps; defining reference architectures and solution blueprints; distinguishing reusable components from customer-specific customization; harvesting delivery patterns; supporting sales pursuits; and managing offer prioritization, versioning, adoption, and retirement across delivery, product, engineering, and business architecture teams.