Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads Microsoft's gaming measurement and insights organization, developing unified measurement strategies, demonstrating advertising ROI, advising clients and product teams, generating gaming audience insights, and partnering with studios and platforms. Manages researchers and analytics professionals, ensures operational rigor, and serves as an industry thought leader. The role requires extensive experience in measurement, research, data science, digital advertising, team leadership, cross-functional collaboration, and gaming or CTV ecosystems.

Owns Microsoft Advertising’s marketing measurement strategy, KPI framework, attribution and incrementality standards, dashboards, and governance. Partners cross-functionally with Marketing, Finance, Sales, Product, Engineering, and Marketing Science to establish trusted measurement practices across brand, events, customer, partner, and growth marketing. Leads adoption and change management without direct reports, oversees coupon and promotional performance reporting, and translates complex analysis into executive recommendations for investment and optimization decisions.

Leads Microsoft Advertising’s marketing operations, growth systems, and transformation strategy. Owns marketing processes, martech architecture, lead capture and lifecycle management, funnel performance, AI-enabled automation, data governance, and cross-functional alignment with Sales, Product, Engineering, Finance, and Marketing Science. Manages marketing operations and technology leaders, drives adoption of new systems, oversees major initiatives, and provides executive insights on marketing performance, investment, and operational improvements.

Serves as a strategic advisor to CoreAI leadership, leading enterprise people strategy across workforce planning, organization design, succession, talent management, rewards, inclusion, culture, and employee experience. Drives organizational transformation, coaches executives, plans future capabilities, partners with HR Centers of Excellence, and develops People Team professionals while balancing business priorities, employee experience, organizational health, and risk.

Develops customer and partner relationships, manages business development pipelines, supports deal negotiations and closures, and creates governance and execution plans. Researches market and technology trends, identifies partnership opportunities, aligns stakeholders, gathers product feedback, and articulates Microsoft value propositions. Uses quantitative data and KPIs to guide strategy, track deal progress, and demonstrate business value.

Delivers fiber infrastructure projects by supporting technical designs, coordinating suppliers, tracking construction and permitting schedules, reviewing fiber characterization results, producing as-built documentation, managing risks and remediation, conducting quality inspections, and reporting status to cross-functional teams and leadership.

Leads business development for Microsoft’s Azure AI portfolio, focusing on strategic partnerships, customer relationships, ecosystem strategy, commercial growth, deal sourcing, negotiation, and post-deal governance. The role develops go-to-market strategies, identifies market opportunities and trends, influences stakeholders, structures partnerships, manages deal pipelines, and represents Microsoft in executive customer and partner engagements.

Leads and develops a team of Cloud and AI specialist sellers, driving Azure and Microsoft Cloud adoption, pipeline growth, revenue, forecasting accuracy, and customer transformation. Builds executive customer relationships, manages sales strategy and territory execution, coaches talent, partners cross-functionally, and leads organizational change while fostering accountability, inclusion, and continuous improvement.

Design, fine-tune, and evaluate large language models (including RLHF). Build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy Responsible AI solutions at scale, and troubleshoot end-to-end operational issues.

Conduct causal inference, econometric analysis, experimentation, forecasting, and optimization to improve operational efficiency, resource allocation, utilization, cost, and business outcomes. Partner with product and engineering teams to collect data, develop analytical tools and decision systems, measure impact, and communicate findings to executives through clear reports.