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

Lead product strategy and execution for the data platform: define roadmap, prioritize features, oversee product managers, align stakeholders, measure adoption and business impact.

Provide high-touch executive support to the CRO including managing operating rhythm, board and investor interfaces, confidential materials, complex domestic and international travel, driving cross-functional follow-through, championing AI/tool adoption, and leading special strategic projects.

Lead enterprise data science strategy, roadmap, and governance. Prioritize high-impact use cases, oversee model lifecycle and MLOps, establish responsible AI standards, manage teams and budgets, and communicate outcomes and risks to executives to drive measurable ROI and adoption.

Lead and support process and quality improvement projects at the UROC depot, including data collection and analysis, repair cost reduction, process development, test method analysis, software/tool support, FMEA and CAPA activities, and cross-functional project execution to improve yield, cycle time, and quality.

Lead partner management for assigned client accounts within Supply Chain, driving strategy, program prioritization, and performance improvements. Influence stakeholders using data and dashboards, ensure contractual compliance, manage escalations, and form cross-functional partnerships to deliver customer-centric supply chain capabilities and value.

Lead partner management to support supply chain program performance across exchanges, repairs, and deliveries. Use dashboards and KPIs to analyze performance, resolve escalations, drive root-cause solutions, identify operational improvements and program enhancements, ensure contractual compliance, and coordinate cross-functional initiatives to meet customer goals.

Manage inventory optimization for the Same Unit Repair program across multiple channels and locations. Set and execute stocking strategies, monitor KPIs (service levels, DOH, in-stock%), minimize excess and obsolescence, analyze data, drive process improvements, and collaborate with cross-functional teams to ensure timely, cost-effective replenishment and program performance.