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

Lead and grow a small Platform Testing team to define and execute a testing strategy that improves developer velocity and product reliability. Build cost-effective QA environments, implement service-to-service and configuration-driven testing, promote testing best practices, apply LLM-powered workflows, and partner with cross-functional stakeholders while managing hiring, coaching, and performance.

As a Product Security Engineer, you'll develop secure tools for engineering teams, conduct security reviews, and automate security processes to enhance Cedar's healthcare technology solutions.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

Lead Data & Integrations Engineering to enhance healthcare integration and data platforms. Manage delivery processes, team development, operational excellence, and cross-functional partnerships.

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

The software engineer will build full-stack features for Kora's voice AI agent, integrating data, refining prompts, and expanding multi-modal capabilities while mentoring peers and ensuring technical quality.

Own and improve Delivery operations workflows connecting customer demand to capacity planning, cost visibility, reporting, and execution. Lead Jira infrastructure, staffing and cost models, build dashboards and decision-useful materials, partner cross-functionally, and drive automation and AI to simplify recurring work. Maintain operating cadences and support strategic planning; travel up to 10%.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Lead design and evolution of data interfaces, mentor team, support integrations for live clients, and enhance data tools for scalability and efficiency.