Top Tech Jobs & Startup Jobs in NYC, NY

Leads global datacenter conceptual design and strategy for building, power, cooling, telecom, controls, and infrastructure systems. Coordinates internal and external stakeholders, oversees multiple concurrent design projects, evaluates operational and implementation impacts, resolves complex technical challenges, develops schedules and business cases, and advises leadership on scalable, innovative datacenter solutions. The role also supports technical documentation, intellectual property development, industry analysis, and cross-group collaboration.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Leads Americas security architects in customer-facing engagements, enterprise security strategy, architecture reviews, escalations, and product feedback. Drives customer growth, security adoption, resilience, risk management, and AI transformation. Develops managers and technical leaders, builds high-performing teams, engages executive stakeholders, and provides technical thought leadership across Microsoft security solutions, cloud security, identity, data protection, SIEM, XDR, and security operations.

Leads technical security sales engagements through demonstrations, proofs of concept, hackathons, architecture workshops, and customer consultations. Designs secure, scalable cloud and hybrid architectures, resolves technical blockers, and advises customers on Microsoft Security solutions, including Defender and Sentinel. Develops security posture recommendations, supports XDR, zero trust, cloud security, and AI adoption strategies, while influencing technical decisions and representing Microsoft in developer communities.

Own worldwide AI Business Process sales strategy, revenue, consumption, pipeline, and forecasting across Dynamics 365, Copilot Studio, agents, and related solutions. Lead and coach a global specialist sales community, engage executive customers, drive partner co-sell motions, enforce sales methodology and execution standards, develop talent, and translate field insights into global go-to-market strategy. The role also drives adoption, consumption planning, technical skilling, deal inspection, and business performance across regions.

Drive execution and adoption of Value Acceleration Services for the AI Business Solutions portfolio. Translate strategy into scalable programs, enable field and sellers, align cross-functional stakeholders, design adoption initiatives, track performance with data-driven insights, and continuously optimize the portfolio to accelerate customer value and growth.

Leads end-to-end software development for AI-infused enterprise applications, including architecture, database design, coding, testing, deployment, and service reliability. Builds Copilot and agentic solutions using Azure and modern full-stack technologies. Provides technical leadership, mentors engineers, establishes quality and security practices, supports enterprise integrations, and collaborates with product teams, program managers, UX designers, and data scientists to deliver scalable commercial software.