Top Tech Jobs & Startup Jobs in NYC, NY

Leads the commercial development of Microsoft for Startups’ financial services portfolio, including financial services, cybersecurity, and AI startups. Develops industry investment strategy, creates enterprise customer pipeline, drives co-sell and Marketplace opportunities, coaches founders on go-to-market execution, transitions mature startups to managed sales coverage, and builds relationships across venture capital, partners, customers, and industry ecosystems.

Owns Microsoft Advertising’s marketing measurement strategy, KPI framework, attribution and incrementality methods, dashboards, governance, and coupon performance reporting. Partners with Marketing, Finance, Sales, Product, Engineering, and Marketing Science to standardize measurement across brand, events, customer, partner, and growth teams. Leads adoption and change management without direct authority, drives major measurement programs, ensures privacy-first data quality, and delivers executive recommendations for investment and optimization decisions.

Lead end-to-end product and program management for the Microsoft Ads Marketplace, defining requirements, prioritizing features, analyzing marketplace health metrics, and driving cross-functional execution with engineering, data science, and partners to improve partner performance and advertiser outcomes.

Leads executive searches for Partner, Vice President, and Corporate Vice President roles, especially in engineering and technical domains. Advises senior leaders on talent strategy, succession planning, organizational design, and workforce planning. Builds executive pipelines, assesses leadership talent, manages candidate experience and closing strategies, and uses market intelligence, AI-enabled tools, and talent analytics to improve hiring outcomes.

Leads global web operations and portfolio program management for Windows and Surface marketing. Owns launch readiness, publishing toolkits, localization across 200+ languages and 244 markets, compliance and privacy validations, instrumentation readiness, vendor governance, process improvements, executive reporting, and team playbooks. Coordinates cross-functional delivery across design, engineering, content, analytics, and operations while ensuring predictable releases and effective post-launch monitoring.

Lead Microsoft Foundry’s enterprise security and governance strategy and roadmap for AI models, agents, and platform capabilities. Partner with engineering, security, compliance, identity, governance, and field teams to deliver secure AI capabilities for enterprise, regulated, and government cloud environments. Translate customer needs and telemetry into scalable product improvements, engage CISOs and industry analysts, and drive cross-functional execution, adoption, and product growth.

Leads Azure’s product-led growth strategy across discovery, trials, onboarding, conversion, cross-sell, expansion, retention, and reactivation. Owns the growth roadmap, portal journey, experimentation program, lifecycle interventions, KPI framework, and executive reporting. Partners with product, engineering, design, sales, support, commerce, and marketing teams to reduce friction, improve value realization, and accelerate customer adoption and revenue growth.

Lead end-to-end yield optimization for Azure infrastructure by analyzing revenue, hardware, and capacity data. Develop statistical and machine-learning models for pricing, resource allocation, and demand elasticity; design experiments and causal inference analyses; build metrics and dashboards; and communicate actionable recommendations to technical, business, finance, and executive stakeholders. Mentor peers and guide cross-functional decisions involving cloud economics, pricing, customer behavior, utilization, and cost efficiency.

Lead architecture and technical direction for an AI-first, agentic offline evaluation platform for Copilot. Design scalable, reliable evaluation pipelines, scoring, and observability for multi-turn agent behavior; mentor engineers and define metrics, guardrails, and reliability strategies under high load.

Designs, builds, tests, and deploys enterprise AI agents using Copilot Studio and related Microsoft technologies. Provides technical direction to customers, advises stakeholders, integrates agents with Microsoft 365 and business systems, and establishes governance, security, evaluation, and cost-management practices. Leads use-case discovery, adoption, pilots, and production deployments while mentoring colleagues and partners, creating reusable assets, and scaling agentic AI expertise across the market.