Top Tech Jobs & Startup Jobs in Boston, MA

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

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.

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.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Lead investigation and mitigation of complex distributed storage issues for Azure Managed Disks. Design algorithms for load distribution, monitor system behavior, debug performance and availability problems, collaborate across teams, mentor engineers, act as on-call DRI, and improve observability and reliability at hyperscale.

Design, build, and maintain highly distributed Azure cloud infrastructure services. Deliver new features, ensure high reliability and performance, monitor and alert on system health, act as DRI, and participate in on-call diagnostics and remediation.

Lead hardware strategy, performance architecture, and benchmarking for large-scale Microsoft 365 and AI workloads. Investigate performance, scalability, and efficiency across compute, GPU, memory, storage, networking, and accelerators. Partner with Azure and platform teams, build AI-assisted performance engineering tools, and influence cross-organizational architecture and infrastructure decisions.

Develops and executes business strategies for the GitHub developer business, analyzes market and competitive trends, identifies growth opportunities, creates strategic planning materials, and leads cross-functional initiatives. The role aligns engineering, sales, marketing, finance, business planning, and partner stakeholders while providing data-driven recommendations to senior leadership.