Top Tech Jobs & Startup Jobs in NYC, NY

Leads cross-functional security sales strategy, planning, readiness, and activation programs. Transforms market, sales, and stakeholder data into actionable insights, coordinates senior stakeholders, manages escalations, and drives execution governance. The role develops go-to-market strategies, supports field and partner teams, oversees complex projects, and improves sales processes and business outcomes through research, metrics, and continuous program optimization.

Leads a multidisciplinary public-sector sales team serving corporate accounts. Owns revenue, forecasting, pipeline conversion, renewals, upsell growth, executive customer relationships, partner co-selling, account strategy, and adoption of Microsoft Copilot, Azure, data, and security solutions. Builds team culture, coaches sellers, drives customer transformation, and coordinates cross-functional and partner initiatives.

Leads technical sales and cloud modernization engagements for mid-market customers. Designs secure, scalable Azure architectures; guides migrations for Windows, SQL Server, Linux, PostgreSQL, Oracle, SAP, and VMware workloads; and supports hybrid networking, containerization, resiliency, security, and compliance. Conducts technical demonstrations, proofs of concept, architecture sessions, and workshops while collaborating with customers, partners, and engineering teams to resolve blockers and accelerate Azure adoption.

Leads technical security engagements involving presentations, demonstrations, workshops, architecture design, and production-ready pilots. Designs and proves Microsoft and third-party cloud security, compliance, privacy, XDR, zero trust, and data protection solutions. Collaborates with sales, consulting, and partner teams, resolves technical and competitive blockers, influences strategy, and guides customer implementations. The role requires strong technical pre-sales or consulting experience and expertise in cloud, hybrid, and on-premises infrastructure.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Leads strategic technology engagement with enterprise and government customers, translating business goals into Microsoft technology roadmaps. Advises senior technical and business stakeholders, orchestrates global Microsoft and partner teams, develops demand and sales opportunities, supports account planning, and promotes cloud, security, AI, and digital transformation solutions. Acts as a trusted customer advisor and internal advocate while driving consumption, adoption, forecasting, and technology strategy.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Leads AI value creation and realization for strategic customer engagements. Runs CFO-focused workshops, develops value hypotheses and investment cases, builds ROI and P&L models, defines KPI measurement frameworks, and proves outcomes against baselines. Creates reusable value patterns, benchmarks, and playbooks while partnering with finance, strategy, engineering, delivery teams, and executive stakeholders to make AI investments measurable, fundable, and accountable.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.