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

Build and deploy machine learning models for supply chain, inventory, demand forecasting, pricing, promotion, clearance, and network optimization. Develop time series, predictive, simulation, and discrete optimization models; create scalable pipelines using Python, Spark, and cloud infrastructure; and own the full model lifecycle. Partner with engineering, product, and operations teams, communicate insights, develop decision-support tools, mentor junior data scientists, and measure business impact.

Build and ship full-stack FanApp experiences focused on search, recommendations, merchandising, promotions, and product discovery. Partner with product, design, backend, data, and platform teams to deliver scalable, performant features. Responsibilities include API integrations, testing, instrumentation, experimentation, performance optimization, observability, debugging, and end-to-end ownership from technical design through launch.

Develop and deploy personalized CRM campaigns, lifecycle journeys, automations, and content components in Adobe Journey Optimizer. Translate marketing requirements into scalable technical solutions, implement schemas and data enhancements, build HTML/CSS/Handlebars components, integrate cloud applications through APIs, and manage code through GitHub and CI/CD practices. Collaborate with stakeholders in an agile environment, conduct experiments, analyze campaign KPIs, troubleshoot automation logic, and own journey updates from requirements through production deployment.

Own the architecture and hands-on development of Fanatics’ enterprise AI/ML platform, including the LLM gateway, agent and MCP runtime, retrieval infrastructure, evaluation systems, governance, and cost analytics. Set technical standards, make build-versus-buy decisions, deliver scalable platform capabilities, improve observability and security, mentor engineers, and communicate architectural trade-offs to senior leadership.

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.