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.

Define product vision, strategy, and roadmaps for Microsoft CoreAI products. Identify customer needs and market opportunities, translate insights into requirements, prioritize features, establish success metrics, and collaborate with Engineering, Design, Research, Data Science, and Marketing from concept through launch and iteration. The role also supports responsible AI, product adoption, customer feedback loops, and performance monitoring.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Leads commercial strategy and execution for complex Defense Industrial Base accounts. Owns multi-year agreements, executive negotiations, pricing, risk management, compliance, forecasting, and long-term customer value. Influences Sales, Finance, Legal, Deal Desk, and Policy stakeholders without formal authority while guiding high-risk deals and improving commercial practices across the organization.

Owns Microsoft’s Americas Telco partner strategy, sales performance, forecasting, and operating model across the United States, Canada, and Latin America. Drives partner growth in Microsoft AI, Azure, Microsoft 365 Copilot, Teams Phone, and Operator Connect. Builds executive relationships with Telco partners, aligns Microsoft field organizations, leads co-sell motions, governs KPIs and business reviews, and expands partner technical capabilities, investments, and cloud consumption.

Develop and operate production AI framework components, runtimes, benchmarking systems, performance tools, and integrations. Benchmark and optimize large language model training and inference across GPUs and Microsoft hardware, build automation and observability, investigate cross-stack performance and reliability issues, and deliver scalable platform improvements. Principal engineers additionally set technical direction, lead multi-team initiatives, define architectures, and mentor technical leaders.

Leads Blue Team capabilities for large-scale federal cyber exercises. Designs defender workflows, hunt content, evaluation criteria, training objectives, and operational playbooks; coordinates customers, red teams, control cells, and account teams; facilitates exercises and after-action reviews; translates findings into detection improvements and remediation plans; and mentors cybersecurity personnel. The role requires cloud, hybrid environment, threat hunting, detection engineering, incident response, and cybersecurity exercise expertise, plus extensive customer engagement and 50–75% overnight travel.

Build and govern a repeatable portfolio of AI and enterprise transformation offers. Responsibilities include assessing market demand, competitive positioning, and Microsoft roadmaps; defining reference architectures and solution blueprints; distinguishing reusable components from customer-specific customization; harvesting delivery patterns; supporting sales pursuits; and managing offer prioritization, versioning, adoption, and retirement across delivery, product, engineering, and business architecture teams.

Leads Windows Commercial Acceleration Engine’s customer and ecosystem insights motion. Owns engagement coverage, signal sources, learning loops, and mechanisms for capturing qualitative and quantitative feedback. Connects fragmented customer, partner, field, community, event, telemetry, and support signals into evidence-backed hypotheses. Maintains an insight backlog, identifies risks and opportunities, and briefs senior leaders on signal strength, confidence, and evidence gaps to support decision-making.

Leads end-to-end development of software that validates and accepts hardware racks into Microsoft datacenters. Designs reliable, observable, and scalable workflows; translates hardware and operational requirements into platform capabilities; diagnoses production issues; improves automation and performance; and collaborates with software, hardware, networking, manufacturing, and datacenter teams. The role includes architectural design, implementation, testing, rollout, monitoring, documentation, and mentoring.