Top Tech Jobs & Startup Jobs in NYC, NY

Leads monetization and business planning for Microsoft Azure Infrastructure. Defines pricing, packaging, licensing, and business models; partners with engineering, product marketing, sales, vendors, and executives to shape product strategy and execute launches. Uses customer research, experiments, performance data, and financial insights to evaluate opportunities, guide strategic decisions, and drive Azure adoption and revenue growth.

Administers and governs enterprise SaaS platforms supporting digital commerce and marketing technology. Responsibilities include platform configuration, identity and access management, RBAC, integrations, security and privacy controls, vendor management, incident and change management, operational governance, reporting, automation, and continuous improvement. Partners with Engineering, Security, Privacy, Product, Legal, Procurement, Finance, business stakeholders, and vendors to ensure reliable, secure, compliant, and user-friendly platform operations.

Define the vision, strategy, and roadmap for Microsoft’s Responsible AI platform. Lead development of capabilities for AI evaluation, red teaming, safety guardrails, risk detection, monitoring, governance, transparency, and compliance. Conduct enterprise customer discovery, translate emerging risks and regulations into scalable products, and coordinate execution across engineering, research, legal, security, compliance, and Microsoft product organizations. Establish success metrics, improve adoption, and represent Microsoft with customers, partners, standards bodies, and industry forums.

Conducts econometric, causal, statistical, and optimization analyses to improve operational efficiency, resource allocation, product performance, and business outcomes. The role defines efficiency measures, develops forecasting and optimization tools, partners with product and engineering teams on data instrumentation and implementation, and communicates findings to executives through clear reports.

Leads creative vision and strategy for Microsoft’s commercial brand initiatives, developing scalable visual, motion, brand, and content systems. Directs multidisciplinary designers, motion artists, creative technologists, and producers; manages talent, resources, team health, and operating models. Partners with executives, marketing, product, communications, and engineering teams to align creative investments with business outcomes. Champions high-quality craft, brand consistency, AI-enabled workflows, innovation, and emotionally resonant storytelling across channels and audiences.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.

Leads the strategy, governance, roadmap, and adoption of Azure Product Marketing’s intelligence platform. Oversees analytics reporting, executive scorecards, dashboards, portfolio deep dives, data quality, governance, and measurement frameworks. Partners with engineering, data science, finance, sales, and marketing teams to translate complex data into actionable recommendations. Establishes insight-to-action processes, develops analytics capabilities, manages stakeholders, and leads multidisciplinary teams.

Own the strategy and roadmap for automated bidding and budget products in digital advertising. Define optimization goals, partner with applied science on machine learning models, improve budget pacing, clarify advertiser controls and diagnostics, and measure impact through online experimentation. Balance advertiser returns, spend growth, and marketplace efficiency while mentoring product managers and influencing cross-functional teams.

Design, build, and operate scalable, production distributed systems for publisher onboarding, ad quality, and monetization. Gather requirements, write reusable code, break down work, act as on-call DRI, and improve availability, performance, and observability while leveraging cloud and AI/ML technologies.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.