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

Creating memorable experiences for the team and guests, managing branded merchandise, organizing team gatherings, and creating a positive office atmosphere.

Principal Data Engineer at Tendo responsible for strategic data engineering solutions, collaborating with Data Scientists, Product Managers, and Machine Learning Engineers, developing tools for data integration and modeling, enabling machine learning model training, and staying current with emerging technologies.

Inside Sales Representative role at ManageCasa responsible for generating new business, expanding customer base, conducting product demos, managing sales pipeline, closing deals, and maintaining customer relationships. Requires exceptional communication and negotiation skills, proficiency in CRM software, and a Bachelor's degree in business or marketing.

The Director of Data Science at Credit Karma will lead a team of data scientists and managers in applying machine learning techniques to solve financial problems for millions of members. They will collaborate with cross-functional teams and shape the technical vision and strategy for ML capabilities. The ideal candidate has a strong background in AI development, ML operational excellence, and data product ecosystem understanding.

Looking for a Sales Engineering leader to build and scale the global pre-sales function, manage sales operations professionals, and optimize revenue to grow the business.

As a Staff Software Engineer at Lyft Media, you will lead and execute large projects related to digital ads platforms. Responsibilities include defining technical roadmaps, writing code, participating in code reviews, and collaborating across teams. Required skills include Java, Python, AWS, GCP, distributed systems, CI tools, and database knowledge. Must have 5+ years of software engineering experience in the ad industry.

You'll work on features that impact Retool builders globally and have the power to change how applications are built across all parts of the stack. You’ll meet with internal counterparts to enhance customer thinking and partner closely with product on building out features. Your work plays a pivotal role in enhancing existing functionality and shipping new features — optimizing the performance of our customers' applications at every turn.