Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead vision, strategy, and roadmap for marketing and media analytics products. Partner cross-functionally to deliver measurement, attribution, audience analytics, experimentation, forecasting, and reporting capabilities. Define data requirements, evaluate external partners, drive adoption, and measure business impact of media investment and marketing outcomes.

Lead product management and UX for supply chain technology (WMS, TMS, vendor integrations), owning strategy, roadmaps, KPIs, vendor selection, and cross-functional delivery to optimize fulfillment speed, cost, reliability, and scalability across stores, distribution centers, and vendor networks. Build and coach a high-performing product and design team focused on operational outcomes.

Lead enterprise analytics for customer activation, CRM, loyalty, and lifecycle measurement. Build teams, develop segmentation and propensity models, run experimentation and incrementality, steward Adobe CJA/CDP implementations, deliver executive reporting, and partner cross-functionally to drive activation, retention, and personalization.

Build and maintain cloud-native, event-driven supply chain and warehouse services. Develop APIs and integrations, diagnose and fix defects, design data persistence, support CI/CD and observability, gather functional requirements, and contribute to roadmap and program deliverables.

Manage end-to-end retail media campaigns for non-endemic brands: onboard advertisers, coordinate internal teams, communicate progress and insights, produce post-campaign reporting, resolve billing issues, and support growth through cross-sell and operational improvements.

The Retail Media Reporting & Insights Analyst centralizes reporting, analyzes campaign performance, and provides strategic insights for marketing efforts.

Lead development of ML and operations-research decisioning systems to optimize inventory flow, forecasting, assortment, purchase order optimization, allocation and pricing. Build, deploy, and monitor hybrid ML‑OR models and real-time decision engines, collaborate with engineering/product, and translate operational needs into scalable, auditable data science solutions.

Lead the development of iOS applications by guiding architectural decisions, mentoring engineers, and ensuring high coding standards while collaborating with cross-functional teams.

The Senior Data Product Manager leads the strategy and delivery of data products for supply chain operations, focusing on enhancing efficiency and visibility.

The Product Manager II leads ecommerce analytics and business intelligence efforts, driving data-driven decision-making by managing product vision, implementation, and cross-functional collaboration, especially using Adobe analytics tools.