Top Tech Jobs & Startup Jobs in NYC, NY

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Serves as a technical advisor and strategist for strategic ISV partners. Develops partner technology roadmaps, drives Microsoft cloud and AI adoption, orchestrates internal resources, resolves technical blockers, enables solution development, and supports sell-with opportunities. Builds trusted executive relationships, guides digital transformation, creates differentiated solutions, and tracks program execution toward joint business and customer outcomes.

Leads global channel sales excellence through business rhythms, executive reviews, forecasting, pipeline and performance analysis, standardized dashboards, and actionable insights. Partners with Sales, Finance, Operations, and Enablement leaders to improve predictability, establish scalable sales processes, drive adoption of operating models and AI initiatives, remove execution barriers, and influence cross-functional stakeholders in a matrixed environment.

Leads software engineering for vector search and information retrieval capabilities in Azure data products. Designs complex architectures, develops high-quality and performant code, creates comprehensive test strategies, collaborates across research and engineering teams, and mentors engineers. Drives product integration, scalability, performance, release planning, and roadmap execution while applying expertise in algorithms, database internals, performance engineering, and AI-based retrieval.

Owns sales operations reporting, business intelligence tooling, and AI-enabled process transformation for Americas sales teams. Translates complex business needs into reporting requirements, data models, dashboards, and scalable solutions; manages BI issue intake, prioritization, SLAs, and engineering delivery. Leads reporting and tooling initiatives, improves data confidence, supports change management, and drives field adoption of actionable insights.

Coordinates business operating rhythms, monthly reviews, request intake, backlogs, action tracking, communications, and process documentation for Microsoft Security. Maintains schedules, owners, dependencies, approvals, and follow-through while escalating risks and capacity conflicts. Improves process reliability by identifying delays, duplicate work, and manual tasks, then recommending practical workflow and automation improvements.

Design, implement, and operate production-quality AI framework components, benchmark and optimize large model training and inference across GPUs and Microsoft hardware, build automation and observability, drive cross-team projects from definition to deployment, and provide technical leadership and mentorship for improvements in performance, reliability, and model onboarding velocity.

Originate and build expressive interactive graphics and motion experiences for Copilot using code, shaders, and real-time browser rendering. Develop production-ready components, optimize CPU/GPU performance, ensure accessibility and reduced-motion support, and collaborate with product engineering on integration and maintenance. Create reusable graphics systems and tools, document technical and artistic decisions, mentor teammates, and guide ambiguous projects from creative concept through delivery.

Leads enterprise AI transformation for strategic customers from strategy and architecture through implementation, adoption, and business value realization. Defines secure, scalable architectures spanning AI agents, applications, data, integration, identity, governance, and operations. Translates business objectives into delivery strategies, roadmaps, and costed solution approaches; governs proofs of concept and pilots; manages risks and stakeholders; develops reusable architecture assets; builds executive relationships; and mentors multidisciplinary technical teams.