Top Tech Jobs & Startup Jobs in NYC, NY

Design, implement, and maintain scalable experimentation platform services. Collaborate with engineers, PMs, and privacy/security/SRE partners to deliver reliable, diagnosable features, participate in on-call rotations, and improve tooling, telemetry, and automation to support large-scale A/B testing and AI product experimentation.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Manages medium-enterprise customer accounts, builds C-level and technical relationships, develops account and co-sell strategies, and drives pipeline, renewals, upsells, consumption, and quota attainment. Coordinates Microsoft teams and partners, forecasts revenue, qualifies opportunities, presents tailored solutions, manages customer satisfaction and escalations, and serves as the customer’s internal advocate. Maintains expertise in Microsoft solutions, industry trends, licensing programs, and digital transformation.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Lead consultative sales engagements to drive adoption and scaling of AI Workforce solutions (M365 Copilot, Copilot Studio, Copilot Chat, Agents, ME3/ME5, Frontline Worker). Orchestrate virtual teams, develop stakeholder strategies, identify and pursue opportunities, present technical value propositions, and collaborate with internal teams and partners to cross-sell and deliver end-to-end AI workforce transformations.

Lead complex cloud, identity, supply-chain, and nation-state security investigations. Perform root-cause analysis, threat hunting, blast-radius assessment, attribution, and incident response across Microsoft telemetry. Operationalize intelligence into queries, detections, playbooks, and platform fixes; investigate adversary tradecraft; use AI-assisted tooling; produce executive-ready reports; and mentor peers in advanced investigations, forensics, and reverse engineering.

Lead enterprise GitHub and Azure architecture engagements, including DevSecOps transformation, GitHub platform governance, security automation, repository migrations, proofs of concept, and production delivery. Design scalable AI, agent, application, integration, and data solutions; oversee workload resiliency, security, capacity, and optimization; support customer adoption through technical workshops; provide escalation support; communicate platform feedback to engineering teams; and mentor customers, partners, and internal teams.

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 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.

Design, build, and operate hyperscale Azure availability and control-plane services to achieve high VM SLAs. Lead architecture, author designs, implement reliable code, run livesite as DRI, and integrate predictive ML/AI models and generative AI for diagnostics and automated root-cause analysis.