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

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.

Lead Finance Systems & Data, driving modernization and AI adoption in finance. Manage architecture, oversee data integrity, and develop a high-performing team.

Build and maintain revenue operations systems, reporting, forecasting, and compensation processes. Deliver analytical frameworks, pipeline diagnostics, ad hoc deep dives, and AI-driven automation to improve sales performance and decision-making while partnering cross-functionally.

Lead the Discovery Experience team to create intuitive and personalized product discovery solutions for retailers, focusing on search UX and AI integration.

Lead full-cycle recruiting for senior Data, ML, and Engineering roles, partner with senior leadership on hiring strategy, own sourcing and candidate experience, negotiate offers, maintain Greenhouse data and reporting, and elevate recruiting best practices and DEI efforts.

Own strategy and roadmap for Faire Pay financial products (net terms, card, brand financing). Drive adoption, activation, and retention while optimizing unit economics, loss rates, and interchange. Partner cross-functionally (Finance, Risk, Legal, Data Science, Engineering) to build underwriting, risk frameworks, and scalable operational infrastructure. Translate financial and risk tradeoffs for stakeholders and execute roadmaps through detailed PRDs and sprint-level delivery.

Lead the design, build, and operation of a centralized experimentation platform (Eppo) integrated with Faire's data ecosystem. Define strategy and roadmap for experiment lifecycle, measurement, governance, and self-service tooling. Partner with Product, Data Science, Analytics, and Strategy to ensure rigorous experiment design, metric creation, and trustworthy decision-making while guiding adoption across the organization.

The Staff Backend Engineer will architect retail-facing search systems, integrate AI capabilities, solve scaling problems, collaborate cross-functionally, and mentor the team.

Lead cross-functional strategic initiatives using data to drive growth. Break down ambiguous problems, execute deep analyses, define and own key metrics, surface actionable insights, build scalable operations, and partner with Product, Sales, Finance, Operations, and Marketing to turn findings into measurable impact.

Lead design and productionization of next-generation search ranking and recommendation systems using transformers, LLMs, GNNs, and deep learning. Build personalized, real-time retrieval and ranking models, collaborate cross-functionally to run experiments and A/B tests, and mentor engineers on MLOps and model development to improve retailer discovery and search relevance.