Top Tech Jobs & Startup Jobs in NYC, NY

Leads end-to-end security assurance for Windows, including compliance, risk assessment, security requirements, threat modeling, vulnerability research, and security tooling. Partners with engineering and product teams to implement scalable controls, coordinate cross-team security initiatives, manage milestones, and drive measurable risk reduction. The role requires influencing without authority, navigating ambiguity, and improving security processes across the Windows product lifecycle.

Develops global technical strategies for Microsoft channel partners across Azure, AI, security, data, infrastructure, and modern work. Guides cloud transformation, Centers of Excellence, technical practices, and scalable solution offerings. Advises partner executives and architects, promotes emerging technologies, translates complex concepts for technical and business audiences, and collaborates with Microsoft engineering, field, regional, and sales teams to drive adoption and measurable business outcomes.

Designs and advances security architecture for Microsoft’s enterprise productivity environment. The role assesses evolving risk, analyzes systems and telemetry, develops reusable security patterns and tooling, partners with engineering teams on deployment, communicates risk and tradeoffs, and establishes priorities and roadmaps amid incomplete information.

Designs and delivers secure, scalable Azure infrastructure and cloud transformation solutions for customers. Leads architecture sessions, migrations, modernization, proofs of concept, and production deployments across infrastructure, applications, data, SAP, hybrid environments, and AI workloads. Partners with technical and sales teams to identify opportunities, resolve blockers, optimize customer environments, develop reusable intellectual property, and drive adoption, resiliency, performance, and business value.

Secure Microsoft Windows online services through offensive security, code and deployment reviews, penetration testing, vulnerability research, and scalable mitigation development. Build reusable security review tools and agents, demonstrate exploit impact, identify novel attack vectors, bypass security controls, and collaborate with product engineering teams to strengthen architecture and defenses.

Design, build, and maintain reliable, high-scale multi-tenant services with emphasis on security, resilience, testability, and automation. Collaborate cross-team, participate in on-call rotation, support live services in Azure air-gapped regions, and contribute to new service buildouts and operational reliability.

Designs and evolves Cyber Defense Operations’ strategic operating model to address AI-accelerated threats. Responsibilities include identifying operating gaps, advising leadership, establishing governance and cross-functional structures, driving AI adoption frameworks, synchronizing workstreams, and escalating stalled initiatives. The role requires strategic systems thinking, executive communication, incident-response awareness, and experience managing cross-functional programs.

Leads technical sales engagements for Microsoft AI Business Process solutions, using demos, proofs of concept, hackathons, and architecture workshops. Partners with enterprise developers, platform leaders, and engineering teams to design secure, scalable solutions across Dynamics 365, Power Platform, and cloud environments. Resolves technical objections, supports production deployments, develops expertise in business applications, and represents Microsoft through customer forums and developer communities.

Lead complex, enterprise-scale cybersecurity programs and portfolios across Microsoft. Translate CISO strategy into roadmaps, operating models, governance, and reusable capabilities; align senior technical and business stakeholders; manage risks, dependencies, and tradeoffs; use AI, telemetry, and evidence to measure outcomes and course-correct; and advise executives on strategy, investments, and execution.

Leads and develops an engineering team building AI frameworks and serving infrastructure for large-scale model training and inference. Sets technical direction across build systems, runtimes, libraries, release pipelines, benchmarking, optimization, and deployment. Drives automation, reliability, observability, regression detection, and production validation across GPUs and Microsoft hardware. Partners with research, product, infrastructure, and hardware teams while coaching engineers, hiring talent, and advancing developer productivity and Azure hardware efficiency.