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

Build and operate AI-driven legal solutions for Microsoft CELA CPS: design agents and prompts, integrate first-party AI, ensure platform reliability, create adoption and reporting dashboards, support production incidents, and enable attorneys through workflows, training, and data-driven insights.

Leads strategic user experience research and customer co-creation workshops focused on large-scale digital and AI-powered experiences. The role designs qualitative and quantitative studies, facilitates interviews and surveys, develops foundational research strategies, manages executive stakeholders, and communicates insights through persuasive storytelling. It partners across Microsoft to define customer moments of truth, shape product direction and experience design, and deliver customer-centric solutions for enterprise clients.

Lead global maps and local data partnerships, negotiating complex, high-value agreements across Bing, Windows, LinkedIn, Copilot, and Azure. Drive transition from licensed data to API- and AI-grounding models, coordinate cross-functional stakeholders, manage multi-deal portfolios, and expand local content in priority markets with technical and regulatory oversight.

Lead brand strategy for AIX by partnering with creative, product, design, engineering, and research teams to craft coherent product expressions and in-product activations. Develop prototypes and briefs, guide cross-group stakeholder engagement, track cultural insights and brand performance, and identify opportunities to deepen product-to-outbound marketing integration.

Senior individual-contributor business program manager owning CRM and seller-tooling domains end-to-end. Translate field workflows into problem statements, prioritized roadmaps, launch and adoption plans, and measurable success metrics. Partner across Product, Engineering, Sales, Data, Enablement, and Support to drive implementation, measurement, and steady-state handoff while influencing senior stakeholders and maturing operating practices.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.

Lead AI-focused commercial and ecosystem strategies to grow Azure AI adoption. Build and manage strategic partner and customer relationships, identify market trends, prioritize and drive pipeline deals, negotiate and close complex agreements, coordinate cross-functional execution and post-deal governance, and coach less-experienced teammates to scale partnerships and commercial impact.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.