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

Lead architecture and development of scalable full-stack systems spanning web, mobile, backend, data, and partner integrations. Build React and TypeScript applications, Node.js services, APIs, and AWS-based distributed systems. Drive cloud-native DevOps, reliability, security, compliance, and AI-assisted engineering practices. Influence cross-team technical direction, establish shared standards, mentor engineers, and lead initiatives across frontend, backend, mobile, and data domains.

Leads the Client Success function, managing Client Success Managers and owning client health, satisfaction, escalations, renewals, and expansion alignment. Builds scalable playbooks, health-scoring methods, reporting processes, and escalation frameworks. Partners with Account Executive, Product, Clinical, Operations, Support, Legal, and Data & Analytics teams to resolve issues, monitor utilization and outcomes, and demonstrate client value. Coaches the team, supports hiring, and handles complex executive-level client situations.

Owns revenue retention and growth for a portfolio of healthcare clients by leading renewals, expansion planning, upselling, and executive relationships. Develops data-driven account strategies, presents ROI and clinical outcomes, negotiates contracts, and coordinates with Client Success, Marketing, Product, Sales, Finance, and Clinical Operations to close growth opportunities.

Manage a portfolio of health plan clients, serving as the primary operational contact and partnering with Account Executives on retention and growth. Responsibilities include relationship management, issue resolution, program launches, client reporting, marketing campaigns, performance monitoring, and continuous improvement. The role requires analyzing clinical, enrollment, utilization, engagement, and campaign data while coordinating with internal teams to deliver strong client outcomes and long-term partnerships.

Lead the architecture, development, and deployment of scalable AI-powered backend systems. Design APIs and inference workflows, fine-tune and productionize LLM and transformer models, establish MLOps and governance standards, and evaluate AI technologies. Mentor engineers, guide cross-functional technical initiatives, improve system reliability and performance, and shape the organization’s AI strategy and roadmap.

Lead and grow a 16-person engineering organization across four AI-focused pods. Set technical direction, guide AI-native product and engineering development, manage cross-team dependencies, and oversee delivery, quality, reliability, security, and velocity. Partner with product, design, and leadership on scalable full-stack systems, mentor engineers and technical leads, and promote strong practices in architecture, testing, observability, incident response, and CI/CD within a HIPAA/SOC 2-aware environment.

Lead architecture and operations for the end-to-end data lifecycle: pipeline orchestration, dbt projects, cloud warehouse performance, dimensional modeling, data observability, HIPAA controls, and platform governance. Mentor a distributed data engineering team, partner with Analytics and Finance, and prioritize durable platform capabilities that enable BI, experimentation, and AI use cases.