Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design and deliver secure, scalable Azure and AI-ready infrastructure. Lead architecture sessions, drive migrations and modernization (infrastructure, databases, SAP, hybrid), ensure operational excellence, create repeatable IP, resolve technical blockers, and accelerate customer adoption and business value.

Lead end-to-end delivery of strategic data science and AI projects: define business problems with stakeholders, prepare large datasets, build and deploy predictive, prescriptive, and generative AI models (including LLMs), implement prompt engineering and fine-tuning, ensure production-grade code and ML lifecycle practices, present insights to senior stakeholders, and promote responsible AI and adoption across teams.

Lead Azure pre-sales for strategic enterprise accounts: drive pipeline, forecast, design solutions, run POCs, integrate partners, mentor junior staff, and promote Azure AI and data platforms to accelerate customer cloud adoption.

Lead customer success engagements by aligning Microsoft solutions (cross-cloud, Azure, Modern Work, Dynamics) to customer objectives. Build executive relationships, develop strategic roadmaps and Customer Success Plans, drive adoption and consumption, mitigate blockers, orchestrate delivery resources, and coach teams to achieve business outcomes and operational health.

Lead product and program analytics for Microsoft skilling experiences. Design funnel and learner-journey analyses, define success metrics, build measurement frameworks, run experiments and causal analyses, develop competency/skill models, partner with product and engineering on telemetry, recommend content and curriculum improvements, mentor data scientists, and ensure data privacy and telemetry quality.

Lead enterprise customers through cloud and AI transformation, develop and execute account plans, orchestrate cross-functional Microsoft teams, drive revenue growth and large deals, build industry knowledge and trusted relationships with senior customer stakeholders, and advocate for customer outcomes throughout the lifecycle.

Lead Azure AI solution design and delivery within the AI Factory: build generative AI POCs/MVPs to production, unblock technical issues, drive adoption, provide technical program management, and influence product roadmap through customer feedback.

Design and deliver scalable, secure Azure cloud and AI solutions including copilots and intelligent agents. Lead architecture, technical delivery, and customer engagements to drive Azure adoption, optimize performance and cost, and deliver measurable business outcomes.

Lead design and development of AI/ML framework and inference software (ONNX, ONNX Runtime, Foundry Local). Provide technical leadership, mentor engineers, define requirements and design docs, drive performance, reliability, and observability improvements, act as DRI and participate in on-call operations, and collaborate across products to deliver scalable AI solutions.

Drive Cloud and AI solution sales by engaging customers, qualifying opportunities, coordinating partners, managing pipeline and forecasting, and aligning Azure-based AI and cloud solutions to customer business objectives to accelerate adoption and expansion.