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

Lead definition and ownership of core growth data models and metrics, build certified data products and agentic features (NL access, anomaly detection, reporting), align teams on shared schemas and definitions, instrument funnels, and drive adoption and retirement of duplicate reports.

Manage execution of SPEAR threat intelligence operations: prioritize and track RFI workflows, translate business needs into technical specifications, coordinate analysts and engineers, ensure data quality and security, develop reporting/dashboards and SOPs, and communicate with stakeholders to drive timely intelligence delivery.

Lead technical pre-sales engagements for Microsoft cloud database and analytics products. Deliver PoCs, demos, hackathons, and architecture workshops; design secure, scalable solutions; resolve technical blockers; collaborate with engineering; and evangelize Fabric, Databricks, Purview and Azure database technologies to accelerate customer migrations and adoption.

Develop and iterate post-training methods for large language models: drive data collection, build evaluations, design experiments, and apply reward modeling and RL techniques to improve model capabilities and deployment.

Lead and scale teams building offensive and defensive AI agents and the ML, data, and safety systems that power them. Drive strategy, production-grade engineering, safety and governance, cross-team collaboration, and hiring/leadership development to deliver secure, reliable agentic security capabilities for customers.

Lead cross-functional planning and landing for SME&C to execute strategic operational initiatives across revenue, investments, resource design, GTM and role success. Drive stakeholder alignment, measure adoption and outcomes, use data and listening mechanisms to inform improvements, and manage communication, reporting, and roadmap delivery to land changes for field teams.