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

Leads strategy and execution for large-scale data engineering and analytics programs. Coordinates engineering, data science, product, and business stakeholders; manages roadmaps, dependencies, milestones, risks, reporting, and delivery. Ensures data definitions, transformations, models, and downstream analytics remain accurate and fit for purpose while navigating complex, ambiguous initiatives involving multiple teams and partners.

Own demand forecasting and performance analysis for consumer hardware and accessory products. Build sell-through and sell-in forecasts, analyze actuals versus goals, identify performance drivers, improve forecast accuracy, and present actionable recommendations. Partner with sales, marketing, analytics, category management, and channel operations teams to support production, inventory, and product launch decisions.

Supports technology finance through budgeting, forecasting, FP&A, variance analysis, financial modeling, reporting, and governance. Reviews CapEx and OpEx spending, project budgets, resource utilization, and financial performance. Prepares dashboards and executive presentations, identifies risks and opportunities, and partners with stakeholders to improve financial processes, controls, and reporting accuracy.

Lead complex hardware development programs for next-generation wearable devices, coordinating engineering design deliverables, component deliveries, qualification, schedules, risks, vendors, and cross-functional stakeholders. The role ensures development milestones support successful product launches and maintains program documentation. It also includes internal consulting practice contributions, thought leadership, client case studies, networking, and career development activities.

Plans, writes, edits, audits, tests, and publishes support content for WhatsApp product launches. Coordinates with cross-functional, localization, and product teams to ensure accurate day-one readiness across support channels. Manages confidential pre-launch materials, timelines, risks, and multiple workstreams while improving content processes and standards. Also contributes to internal thought leadership, case studies, learning materials, and digital transformation initiatives.