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

Own end-to-end product strategy and delivery for a high-throughput data platform powering AI model training. Design and optimize ingestion pipelines, improve onboarding and file-transfer reliability, ensure data quality, partner with engineers and operations, use analytics to prioritize features, and support client delivery and reconciliation.

Build and maintain customer-facing and internal web applications using React and TypeScript across Rails-embedded and standalone environments. Own shared component libraries, implement Figma designs, improve frontend performance, integrate REST APIs, expand automated testing, and investigate production issues. Collaborate closely with design, product, and backend engineering while documenting maintainable patterns and applying coding agents effectively.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.

Conduct applied AI and machine learning research focused on multimodal data, foundation models, agents, evaluation, and data enrichment. Monitor research trends, prototype emerging techniques, design experiments, validate opportunities, and translate findings into briefs and recommendations. Partner with product and engineering teams to guide data strategy, training corpus generation, and longer-term opportunity prioritization.

Own the company’s monthly close, licensor and partner payouts, customer billing, receivables, reconciliations, tax coordination, payroll administration, and finance systems. Build scalable accounting processes and controls while applying US GAAP and revenue-recognition principles. Partner with the CFO, management, licensors, customers, and Supply Side teams to ensure accurate reporting, timely payments, compliance, and reliable financial information in a growing remote AI data company.