Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead and close high-impact partnerships with health plans, EAPs, and strategic healthcare partners to expand mental health access and drive patient visit volume. Manage complex, long-cycle strategic sales, engage C-suite executives, scale partnerships, advocate for the care model, and advance health equity and behavioral outcomes.

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.

Lead development of provider-facing systems to grow provider supply and onboarding. Design scalable distributed systems, build full-stack web applications, drive high-priority projects, mentor engineers, and improve provider experience and marketplace dynamics.

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.

Own and maintain revenue data in Salesforce and integrated tools, ensure data integrity, translate business needs into technical requirements, support and educate Salesforce users, and build reporting and dashboards to drive leadership insights for the Commercial Sales & Success team.

Design and scale robust systems as a Fullstack Senior Software Engineer, leading technical projects and mentoring peers within a cross-functional team.

Lead the Trust & Safety engineering domain to design and implement systems that detect and mitigate fraud, billing anomalies, and credential abuse. Build scalable, database-backed fullstack and microservice solutions, establish operational processes and tooling, mentor engineers, drive architecture and lifecycle from planning through post-launch maintenance, and collaborate cross-functionally with non-technical stakeholders.

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 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.

Design, build, and maintain scalable patient onboarding systems (registration, eligibility, acquisition). Own projects end-to-end, run experiments, optimize for performance and resilience, collaborate with Product/Design/Analytics, mentor engineers, and improve team practices.