Top Tech Jobs & Startup Jobs in Boston, MA

Develop and execute Microsoft Advertising sales strategies, grow client revenue, manage pipelines, expand product adoption, and build strategic relationships with C-level and senior marketing stakeholders. Lead account planning, negotiations, opportunity management, and cross-functional collaboration to achieve sales targets and improve customer satisfaction.

Develops Microsoft Advertising agency partnerships across North America by creating growth plans, identifying advertiser opportunities, driving product adoption, and coordinating sales, marketing, product, technical, and learning teams. Leads agency enablement programs, workshops, commercial initiatives, pipeline management, performance analysis, and scalable growth motions across advertiser portfolios. Requires strong digital advertising, strategic selling, cross-functional collaboration, and business planning expertise.

Leads the commercial development of Microsoft for Startups portfolios across manufacturing, energy, cybersecurity, and AI. Develops industry investment theses, identifies high-potential startups, drives enterprise customer access, manages co-sell and marketplace execution, coaches founders on go-to-market strategy, transitions startups into managed sales coverage, and builds relationships across venture capital, partner, customer, and industry ecosystems.

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.

Lead the training, optimization, scaling, and debugging of large language and multimodal generative models for scientific discovery. Develop efficient training workflows, identify performance bottlenecks, guide technical strategy, mentor engineers, and collaborate with researchers and domain experts to translate advanced machine learning research into impactful solutions.

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.

Conduct machine learning and statistics research alongside Microsoft researchers, applied scientists, and engineers. Interns will develop or contribute to theoretical and applied research, collaborate with peers and mentors, present findings, and support research and development projects across areas such as generative models, causal inference, reinforcement learning, deep learning, and forecasting.

Leads consultative Cloud and AI solution sales for mid-market customers. Guides cloud transformation across infrastructure, data, and AI platforms; manages pipeline and forecasts; develops business cases and proofs of concept; collaborates with account executives, solution engineers, architects, partners, and customers; and drives opportunities from commitment through cloud consumption and deployment.

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.