Top Tech Jobs & Startup Jobs in NYC, NY

Lead cross-functional revenue strategy, planning, and sales enablement initiatives. Synthesize insights, design revenue models, drive field activation, manage end-to-end programs, and influence senior stakeholders to deliver scalable commercial outcomes.

Design, implement, and operate large-scale distributed storage systems (index management and garbage collection). Drive design, debug and optimize code, own reliability/observability, act as DRI, participate in on-call rotations, and collaborate with stakeholders to define requirements and release plans.

Lead technical pre-sales engagements to design secure, scalable Azure architectures for migration, modernization, and AI workloads. Build trusted advisor relationships, drive POCs, apply CAF/CMF best practices, design hybrid networking and containerization solutions (AKS, Arc, AVS), and collaborate with engineering and partner teams to overcome technical objections and optimize enterprise migrations.

Customer-facing Cloud Solution Architect focused on AI business process solutions (Dynamics 365, Power Platform, Copilot Studio). Guide architecture, proofs-of-concept, migrations from legacy systems, drive adoption, resolve technical blockers, and collaborate with partners and Microsoft teams to optimize performance, cost, and operational health.

Lead telemetry and experimentation data engineering for Global Skilling products. Own instrumentation and telemetry contracts, build A/B testing pipelines and semantic models, integrate catalog/content data, deliver external reporting, operate insights feedback loops, mentor mid-level engineers, and provide on-call leadership for product-tier pipelines.

Lead a cross-discipline engineering team (software engineering, TPM, data science) to deliver customer cloud solutions, coach and develop talent, model engineering excellence, promote reusable patterns and responsible AI, and partner with product teams and customers to build high-impact, open-source solution assets.

Lead a cross‑discipline engineering team to deliver cloud-based, high-impact customer solutions. Manage portfolio delivery, coach engineers and TPMs, model engineering excellence, and drive reusable patterns, responsible AI use, and collaboration with product teams and open-source communities.

Lead a cross-discipline engineering team to deliver high-impact cloud and AI-enabled customer solutions. Coach engineers and TPMs, model engineering excellence, contribute to open-source solution patterns, and drive portfolio and delivery leadership while ensuring operational excellence and responsible AI practices.

Partner with Cloud & AI sales leadership to drive pipeline health, consumption forecasting, sales execution discipline, and data-driven insights. Lead planning engagements, milestone management, and change to accelerate Azure and AI platform revenue and customer value.

Design and implement scalable, durable cloud storage services for Azure Archive Storage. Collaborate with hardware/firmware teams, lead design and feature implementation, mentor engineers, act as DRI and on-call owner, and improve availability, reliability, performance, and observability of large-scale distributed storage systems.