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

Own the strategy, roadmap, and lifecycle of Fanatics Commerce’s AI-driven marketplace and product information management systems. Lead SKU unification, catalog enrichment, seller onboarding, listing optimization, and structured product data initiatives for AI shopping agents and LLM answer engines. Partner with engineering, AI/ML, marketing, operations, and sellers to improve data quality, automation, marketplace performance, and omnichannel customer experiences.

Leads full-cycle technical recruiting for engineering, product, and data organizations. Partners with senior technology leaders on workforce planning, develops proactive sourcing and talent-mapping strategies, manages complex searches, coordinates technical interviews, negotiates offers, and improves recruiting processes through analytics, automation, AI, and market insights. The role also emphasizes diverse pipelines, exceptional candidate experience, employer branding, and stakeholder communication in a global hybrid environment.

Sets enterprise data and integration architecture across commerce, supply chain, ERP, manufacturing, fulfillment, and external trading partners. Defines canonical data models, integration standards, semantic layers, and data platform strategy. Leads architecture decisions involving Snowflake, StarRocks, Iceberg, Kafka, APIs, event-driven systems, AI readiness, privacy, and regulatory obligations. Partners with executives, engineering, product, data governance, security, and compliance leaders while mentoring senior architects and guiding major platform investments.

Leads the global Storefront Engineering organization and owns the technical strategy, architecture, reliability, and customer experience across Fanatics’ e-commerce websites and mobile platforms. Oversees frontend modernization, micro-frontends, design systems, AI-powered personalization, search, experimentation, accessibility, SEO, performance, and peak-event readiness. Builds globally distributed leadership teams, partners with Product, Design, Data Science, and platform organizations, and translates engineering strategy into measurable business outcomes.