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

Own the technical vision and evolution of Faire's ML platform: design scalable training/inference workflows, set MLOps standards, implement Unity Catalog and Databricks best practices, optimize cost and reliability, integrate LLM workflows, mentor engineers, and lead cross-functional initiatives to accelerate data science velocity.

Lead design and production of next-generation search and personalized recommendation systems using LLMs, dense retrieval, transformers, GNNs, and MLOps. Drive model development, GPU-based deployment, and <100ms low-latency ranking while mentoring applied scientists and MLEs and collaborating cross-functionally to productize search experiences.

Lead a 15-person GTM/RevOps organization to define strategy, forecasting, territory design, and AI-enabled workflows. Own AI roadmap, build and validate automation tools, drive enablement and adoption, measure impact on rep productivity and pipeline, and hire and develop a high-performing team.

Design, operate, and optimize a scalable ML platform: productionize ML workloads, implement governance (Unity Catalog), build CI/CD with Terraform and GitHub Actions, configure IAM/RBAC, establish observability, and enable data scientists to move models from notebook to production.

Lead retailer product marketing strategy and a team of PMMs to define positioning, messaging, and GTM for complex retailer products. Own retailer narrative, acquisition initiatives like Opening Soon, cross-functional partnership, and research to validate messaging. Measure impact on GMV and retention, and model AI adoption to improve team productivity.

Own product-area positioning and end-to-end GTM strategy. Drive launches, adoption, and cross-functional enablement. Conduct customer research, translate insights into clear messaging, measure impact with data, and use AI tools to accelerate PMM work.

Build and productionize ML models for shipping cost estimation, retailer credit underwriting, SEO-driven landing pages, personalization, and lifetime value prediction. Collaborate with data scientists, engineers, and product managers to design features, deploy explainable and performant models, and extract value from two-sided marketplace data to grow and optimize Faire's retailer business.

Lead strategic finance for Faire's financial products by identifying opportunities, conducting deep analyses, building and stress-testing financial models, forecasting and tracking ROI and KPIs, supporting capital markets strategies, and enabling data-driven decision-making for growth initiatives and product launches.

Lead and scale global equity programs end-to-end including plan design, administration, accounting, compliance, and employee experience. Partner cross-functionally to build audit-ready processes, manage public company equity responsibilities (SEC reporting, insider trading, controls), oversee grant lifecycle and reconciliations, and design/implement equity systems and integrations while managing global tax, regulatory, and payroll risk.

Lead the science and technical direction for Compass, building agentic LLM features end-to-end. Drive data, evaluation, and modeling to improve agent quality, ship production features across backend/data/frontend, define eval/experiment frameworks, and collaborate on architecture and tooling to safely enable assistant actions.