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

Lead product management and UX design for supply chain technologies (WMS, TMS, custom platforms), owning strategy, roadmaps, vendor ecosystem, KPIs, and cross-functional alignment to improve fulfillment speed, cost, reliability, and scalability across stores, DCs, and vendors.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

Lead planning, oversight, and coordination of Athlete Intelligence and Data projects, manage cross-domain alignment and stakeholder engagement, and facilitate program delivery and reporting in a complex environment.

Lead and grow a team of software engineers building custom and SaaS solutions for Vertical Brands. Partner with Product and Design to deliver roadmap initiatives, ensure technical excellence, manage delivery and resources, drive data-driven product improvements, and mentor engineers to build capabilities and high-performing culture.

Design, build, and maintain scalable, reliable athlete order systems. Analyze business and software requirements, implement features, tune databases, and fix defects. Collaborate with product and cross-functional teams to support event-driven, high-throughput order processing using Kafka, Postgres/Cosmos, and search technologies.

Design, develop, and maintain cloud-native, event-driven supply chain and warehouse services. Contribute to APIs, message processing, integrations, database design, troubleshooting, and CI/CD. Collaborate on roadmap, requirements, and program plans while continuously learning and improving system performance and reliability.

The Senior Product Manager will lead the integration of machine learning into search relevance, defining product vision and collaborating with teams to enhance ecommerce search functionality.

Design, build, and maintain reliable data pipelines and models using SQL, Python, and Databricks/Spark. Translate multi-source schemas into scalable data models, enforce data hygiene and privacy, add tests/documentation/lineage, and collaborate with analytics, product, marketing, and vendor teams to deliver trustworthy data for personalization and marketing.

Manage retail media campaigns for non-endemic brands across post-sale lifecycle. Support Partner Manager with onboarding, asset collection, timeline and billing management, cross-functional coordination, performance reporting, and growth through upsell and process improvement.

The Principal Product Manager will lead the strategy and execution for loyalty and membership initiatives, driving innovation and cross-functional collaboration to enhance customer engagement and business impact.