Top Tech Jobs & Startup Jobs in NYC, NY

Architect and deliver high-performance, scalable platform services across GitHub (Actions, Identity, Billing, Git systems, DB infra). Lead design through production, mentor engineers, own reliability and on-call responsibilities, design APIs, collaborate cross-functionally, drive roadmaps, and champion security and operational excellence.

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.

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.

Serve as the primary post-sales delivery lead for strategic enterprise customers: orchestrate Microsoft and partner resources, develop customer success plans, track adoption and consumption, run program reviews, prioritize engagements, drive usage and retention, and align cloud solutions to customer business outcomes.

Owner of Microsoft Advertising's external certification strategy and roadmap. Design, launch, and maintain certification programs and LMS content, partner with SMEs and stakeholders, apply instructional design and AI-first content approaches, measure outcomes with data analytics, and coordinate promotion and cross-functional execution.

Lead end-to-end data science for customer-embedded, production solutions: acquire and prepare messy datasets, develop and evaluate models tied to business outcomes, run experiments, deploy operational models at scale, coach cross-disciplinary teams, and drive strategy, ethics, and privacy discussions.

Lead end-to-end data science projects: acquire and prepare messy datasets, develop and evaluate models tied to business outcomes, operationalize models at scale, run experiments, drive ethics/privacy, partner with customers and teams, and coach cross-disciplinary colleagues.

Design, build, and scale AI-powered tools, agents, automations, and data integrations for communications use cases. Partner with users to prototype, validate, and productionize solutions; implement security, monitoring, and human review; create reusable components, documentation, and evaluation frameworks for safety, grounding, and reliability.

Lead and scale teams building offensive and defensive AI agents and the ML, data, and safety systems that power them. Drive strategy, production-grade engineering, safety and governance, cross-team collaboration, and hiring/leadership development to deliver secure, reliable agentic security capabilities for customers.

Lead design, implementation, and operation of high-performance, real-time auction services on a large-scale distributed advertising platform. Architect and deliver scalable features, optimize performance, run production support, participate in planning, code reviews, and mentor junior engineers.