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

Leads research and client advisory on securing artificial intelligence and generative AI systems. Develops written research, presentations, market analysis, and actionable cybersecurity guidance; evaluates AI security controls, standards, governance practices, and supporting technology markets. Represents Gartner as an industry expert, supports sales and research teams, reviews content, presents at events, and collaborates with research peers.

Develop and publish research for Chief Compliance Officers on compliance program optimization, regulatory change, risk frameworks, analytics, governance, monitoring, and reporting. Advise executive clients through conversations, videoconferences, events, and occasional press inquiries. The role requires senior compliance leadership experience, strong executive communication, cross-functional collaboration, and the ability to translate quantitative and qualitative evidence into actionable recommendations for global organizations.

The role involves providing insights and advice to clients, creating research and analysis in audit planning and risk coverage, and collaborating with internal analysts. Responsibilities include developing actionable insights, delivering presentations, and enhancing client engagement.

Lead research and analysis of the enterprise AI services market, develop market sizing and forecasting models, publish actionable insights, advise clients and executives, create presentations and conference content, mentor junior analysts, support sales and research processes, and drive thought leadership and improvements. Travel up to 25% where applicable.

Leads research and thought leadership on AI-led go-to-market strategy and business transformation for small and midsize technology providers. Advises CEOs and executive teams on revenue architecture, sales, marketing, customer success, partnerships, pricing, operations, and converging AI technology stacks. Conducts market analysis, predicts trends, presents recommendations to clients and conferences, supports sales, reviews research, mentors colleagues, and improves research processes.

Leads Gartner research and thought leadership on enterprise infrastructure, AI, cloud computing, and cloud financial management. Develops actionable insights, analyzes market trends, advises executive clients, presents at conferences and briefings, supports sales, reviews content, mentors analysts, and improves research processes. The role requires expertise in FinOps, AI-optimized cloud architectures, infrastructure strategy, cloud cost governance, AI integration, and executive stakeholder engagement.

Develops thought leadership, research, market predictions, and actionable enterprise AI strategy insights for C-level clients. The role analyzes technology trends, advises executives and boards, delivers presentations at conferences and client briefings, supports sales, reviews content, improves research processes, and mentors analysts. Candidates need extensive technology transformation and AI strategy experience, executive influence, strong analytical and communication skills, business acumen, and the ability to travel up to 25%.

Own the full B2B sales cycle for Gartner’s Large Enterprise territory, from prospecting and relationship development through negotiation, closure, and client transition. Build and manage a high-quality pipeline, meet quota and KPIs, sell to C-level executives, manage complex high-revenue opportunities, and maintain accurate forecasting and account plans. The role requires consultative selling, new-client acquisition, and collaboration across matrixed business environments.

Lead research and thought leadership on data management and AI readiness, produce actionable insights, advise clients and sales, present at events, mentor analysts, and improve research processes to drive client outcomes.

Lead research on AI integration in manufacturing, develop actionable insights for clients, analyze market trends, and provide expert guidance on digitalization and AI strategies.