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

The Data Scientist will develop and deploy ML models, automate workflows, and handle unstructured data while communicating effectively with stakeholders. A strong background in ML, programming, and business acumen is required.

Lead the engineering team in developing integrated digital marketing solutions for Pharma, focusing on customer journey orchestration and technology platform enhancements.

The Technical Development Principal Scientist will design and execute analytical studies for process development and regulatory filings, contributing as an analytical expert in a CMC team for clinical therapeutics.

Lead the ML Platform team at Zoox, overseeing the development of a robust platform for training and serving ML models, while managing a diverse engineering team.

The role involves leading Salesforce architecture, managing complex integrations, setting development standards, and driving cross-functional programs in a fast-paced environment.

Lead cross-functional program planning and drive milestone execution, define KPIs, and provide status updates to stakeholders in Zoox's product development.

The Technical Recruiter will source, screen, and close engineering talent in crypto, enhancing candidate experience and aligning with hiring needs.

As a Software Engineer for GenAI inference, you will design and optimize the inference engine for Databricks' Foundation Model API, focusing on performance and efficiency across various systems.

Lead the development and optimization of GPU kernels for GenAI inference, focusing on performance improvements and mentorship of engineers.

Lead the architecture and development of an inference engine for Databricks Model API, optimizing for performance and scalability while collaborating with researchers and cross-functional teams.

The Sales Engineer will lead technical efforts during the sales process, collaborating with sales teams to design and deliver tailored identity security solutions to enterprise clients.

The Enterprise Account Executive will lead enterprise sales cycles, build relationships with C-level stakeholders, and collaborate with partners on go-to-market strategies. Responsibilities include developing account plans and consistently exceeding sales goals.

The Principal Program Lead will drive organizational transformations within Autodesk by collaborating with cross-functional teams to align strategies, manage complex initiatives, and ensure successful outcomes across Marketing, Sales, and Customer Success.

Lead customer experience operations, connecting financial insights with operational actions, managing technology lifecycles and enhancing workflows using AI tools.

The Staff Software Engineer will design scalable applications in Typescript, guide technical initiatives, mentor teams, and drive engineering excellence across projects.

The Director of GCP Compliance leads GCP oversight and Inspection Readiness activities, partnering with QA and Development teams to ensure compliance and quality in clinical programs. Responsibilities include training initiatives, compliance risk mitigation, and overseeing GCP issue management.

Lead the implementation of AI solutions for enterprises by strategizing on automation, collaborating with clients, and optimizing business processes. Conduct training, manage projects, and ensure transition to support teams.