Top Tech Jobs & Startup Jobs in NYC, NY

Own end-to-end capacity delivery for Azure AI infrastructure, including NeoCloud partnerships and large-scale GPU deployments. Lead integrated execution plans, risk management, milestones, operational reviews, metrics, and continuous improvement across engineering, datacenter operations, networking, supply chain, finance, and external providers. Identify and implement AI, automation, and agentic workflows to improve infrastructure delivery predictability, reduce operational toil, accelerate execution, and support Microsoft's AI infrastructure strategy.

Supports established customers in adopting Azure and AI technologies, improving solution health, and achieving measurable business outcomes. Builds stakeholder relationships, assists with customer success planning and reviews, coordinates delivery resources, tracks risks and dependencies, escalates issues, and connects customer priorities with Microsoft solutions. The role includes structured onboarding, mentorship, and development of technical, communication, and customer success skills.

Customer-facing Cloud Solution Architect driving security transformation on Azure and Microsoft 365. Design and implement security architectures (Identity, Threat Protection, Cloud Security), run design sessions, perform hands-on evaluations of Defender, Sentinel, and Azure AD, and influence product and engineering teams to improve customer security posture and adoption.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Leads MCAPS Commercial Planning operations, including the weekly Rhythm of Business, executive planning calendar, and annual Planning Summit. Responsibilities include governance design, stakeholder alignment, planning reviews, agenda and content coordination, communications, action tracking, calendar management, executive engagement analysis, event logistics, budget management, and advancing AI-enabled operational efficiencies. The role partners with senior leaders and cross-functional teams in a large, matrixed organization.

Provides technical pre-sales and consulting support for Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Leads demos, proofs of concept, hackathons, code-with sessions, and architecture workshops for enterprise development teams. Advises customers on secure, scalable cloud-native architectures, DevOps, CI/CD, and AI-assisted software development; resolves technical objections; collaborates with engineering; and promotes Microsoft solutions through customer and developer communities.

Design and build compute orchestration and scheduling on Kubernetes and Ray for large-scale AI model training and inference. Tune and benchmark pretraining software on Nvidia GB200 and AMD MIxxx GPU clusters, improve cluster efficiency, enable observability and reliability, collaborate with research and framework teams, and influence architecture and roadmap for Copilot and foundational models.

Lead and run executive operating rhythms and the Commercial Business Overview, drive cross-organizational alignment, translate strategy into measurable execution, and improve operating models and tooling to increase transparency and follow-through.

Drive technical pre-sales for data security: deliver demos/PoCs, lead hands-on workshops, design secure architectures, resolve technical blockers, advise on data governance and AI platform security, and represent Microsoft in developer communities.

Define and drive Security Operations strategy at the intersection of Identity and AI. Analyze IAM and AI roadmaps, perform threat modeling, build security frameworks for AI-enabled systems and agentic workloads, identify capability gaps, incubate new security approaches, and partner with engineering and security teams to influence long-term direction and operational readiness.