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

The role involves designing and optimizing lifecycle growth initiatives focused on email and notifications to drive user engagement and retention through analytical experiments and collaboration across teams.

Lead the development of finance data infrastructure, focusing on scalable systems, automation, and data pipelines. Manage teams, design data workflows, and partner with senior leaders to enhance operational efficiency and compliance.

The role involves providing financial insights, guiding B2B financial planning, analyzing trends, building FP&A rigor, and managing budgets, while collaborating with senior B2B leaders.

Lead day-to-day hardware and network operations, logistics, and vendor management for global data center campuses. Design scalable repair and material-movement systems, define SLAs and metrics, improve traceability and throughput, coordinate across engineering, construction, and supply chain, and drive operational planning for hyperscale infrastructure growth.

The Reliability/DFX Engineer will oversee DFX architecture and improve system reliability, working closely with teams on AI hardware design and implementation.

Design, implement, document, and monitor revenue-related internal controls across order-to-cash, billing, usage metering, and Ads monetization. Perform readiness assessments, walkthroughs, data inquiries, and maintain audit-ready artifacts. Partner with Product, Engineering, Revenue Operations, Finance, and others to track remediation, report control health, and support internal and external audits.

Lead SOX/ICFR readiness and governance for complex revenue lifecycles. Drive readiness assessments, control frameworks, risk assessments, remediation, testing strategy, and audit liaison across subscription, commerce, and ads monetization.

The Simulation Realism Engineer will enhance realism in robotic simulations, develop engineering solutions, and collaborate across teams to improve simulation accuracy and reliability.

Design and implement end-to-end mitigations for model-enabled cyber misuse, integrate safeguards across product surfaces, evaluate trade-offs, collaborate on threat modeling, and execute red-teaming and testing to iterate protections against evolving attacks.

Design and implement dataset infrastructure to support training and inference pipelines. Collaborate with researchers and build scalable dataset APIs, while maintaining performance and reliability across systems.