Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead revenue operations for B2B growth: build forecasts, dashboards, and models; analyze funnel performance and data quality; run pipeline and forecasting cadences; partner with sales and analytics to drive GTM improvements.

Designs and improves tools for therapists and providers, focusing on multi-step workflows, reducing friction, and supporting better clinical decision-making. Partners closely with Product, Engineering, Clinical, and Research to take products from concept through delivery, including AI-enabled experiences and design system thinking.

Lead automation and reporting for financial operations: build workflows, create and maintain reports, analyze operational data, troubleshoot pipelines, and partner with SMEs to optimize processes and support operational decision-making.

Build and scale patient-facing mobile apps for iOS and Android using React Native. Own features end to end, from design through release and monitoring, while improving mobile architecture, testing, performance, and reliability. Partner with Product, Design, and backend engineers, and mentor junior teammates through code reviews and knowledge sharing.

The role involves architecting and building scalable AI systems for mental healthcare, focusing on patient engagement and clinical operations. The engineer will handle system architecture, engineering problems, and guide AI implementation within a regulated environment.

Design, build, and optimize modular dbt pipelines and technical schemas; translate business requirements into production-grade data models; optimize warehouse performance (Snowflake migration); enforce data quality and security; perform peer code reviews, mentor junior engineers, and adopt AI-assisted dev tools to accelerate testing and code discovery.

Lead analytics for EHR and revenue cycle products and operations. Partner with Product, Finance, Billing, and CX to run experiments, analyze financial and operational metrics, investigate billing/account issues, and deliver actionable insights that improve accuracy, reduce friction, and support sustainable growth.

Lead data-driven provider quality initiatives across the provider network: analyze gaps, size opportunities, run quarterly programs, partner cross-functionally, and measure outcomes to improve provider and note quality and implement AI-powered documentation improvements.

Lead B2B activation marketing to drive patient starts from referral channels by building scalable systems, data-driven attribution and experimentation frameworks, MarTech-enabled automation (including AI/ML and LLM tools), and repeatable playbooks. Partner with commercial, product, and analytics teams to define attribution, run A/B and incrementality tests, templatize campaign approaches, and reduce manual campaign execution.

Lead the technical direction of applied AI products, owning product innovation, and enhancing AI implementation and performance in a fast-paced environment.