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

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

This role oversees the onboarding and engagement of Digital Reporter contractors, supports QA processes, and manages internal communication and documentation.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.

As a Founding Software Engineer at Redcar, you'll design and develop complex systems, innovate with LLMs, and collaborate with founders to impact the AI industry significantly.

As a Senior Frontend Engineer, you will design and build web applications, owning major UI projects, collaborating with cross-functional teams, and optimizing performance for a seamless user experience.

Provision, configure, and deploy Motorola Emergency Call Handling applications; gather requirements, document designs and changes, provide training and cutover/go-live support, troubleshoot application issues, and liaise between customers, sales, deployment, product, and support teams. Travel to customer sites frequently to implement and verify solutions.

The Marketing Enablement Program Manager will lead tools and initiatives to enhance brand visibility, support sales enablement, and manage field marketing programs. Responsibilities include developing sales collateral, collaborating across teams, managing event lifecycle, and tracking program effectiveness to drive pipeline growth.

The Wealth Analyst role focuses on assisting Wealth Advisors in financial planning, investment reporting, and client service execution while gaining knowledge in financial planning and investment principles.

As a Founding BDR, you will enhance outbound sales by developing a BDR function, creating strategies, and collaborating with multiple teams to drive leads.

As a ML Platform & Infrastructure Engineer, you'll design CI/CD pipelines for ML workflows, build evaluation infrastructure, and develop SDKs and tools to enhance experimentation. You'll track and visualize model performance while optimizing resources.