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

Build and scale production-grade agentic AI applications: full-stack development, LLM and agent integration, APIs and orchestration, RAG and vector search, model lifecycle management, deployment, monitoring, and reliability with human-in-the-loop workflows and safeguards.

Serve as a finance-focused business analyst to gather and document requirements from accounting, finance, and tax teams; map current and future-state processes; translate needs into functional specifications; support UAT, data validation, and SOP/process documentation; facilitate stakeholder and technical team communication; identify automation and process improvements.

Lead multiple engineering teams to drive AI-first development, building AI agents, LLM/GenAI solutions. Manage Azure infrastructure, .NET, Python, and React development, GitHub repos and Actions pipelines. Mentor teams, set coding standards, champion AI-assisted tools, collaborate with program leaders, and foster innovation and continuous improvement.

Lead multiple Scrum teams by coaching them in Lean-Agile principles, facilitating sprint ceremonies, and managing program increments. Collaborate with cross-functional teams to achieve project goals and improve operational efficiency.

The Functional Test Lead will manage a team to develop and execute test strategies, ensuring software quality through functional testing and test automation.

The role involves developing training material, supporting threat modeling for applications, collaborating with InfoSec teams, and contributing to security strategies and roadmaps.

Lead the development of data pipelines and transformations in Azure Databricks, converting Scala programs to PySpark while leveraging various Azure technologies.

This role involves designing automation strategies, supporting delivery efforts, participating in code reviews, and advising on test automation best practices.

Provide post-production support for Workday HCM, assist clients with implementations, manage client relationships, and mentor team members.

The Big Data Lead will manage database development, ETL/ELT processes, and data warehousing, optimizing performance and ensuring data pipelines work reliably.