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

Lead a team of data scientists in developing and deploying statistical and AI/ML models to solve complex business problems in the marketing field. Manage project delivery, collaborate with stakeholders, stay updated on industry trends, and foster a culture of collaboration and learning within the team. Requires 7+ years of Data Science experience and a Master's Degree or Ph.D. in a quantitative field.

The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ (Marketing Experimentation and Optimization Platform). They will work closely with cross-functional teams to build and refine the platform for experimentation and optimization.

As a Data Governance Solution Architect, you will be responsible for implementing and configuring Data Governance platforms in Azure cloud, collaborating with cloud platform and security teams, executing test validations for data security and compliance, establishing data governance policies with data domains, providing training and support on data governance principles, developing technical roadmap for Data Governance Tools, and staying updated on industry trends.

Seeking a Principal Software Engineer to enhance the robustness and scalability of the infrastructure supporting Machine Learning workloads. Responsibilities include optimizing Kubernetes clusters, refining training infrastructure, and collaborating with cross-functional teams. Requires proven experience in designing scalable data platforms and strong proficiency in managing Kubernetes clusters.

Seeking Head of Business Development with 10+ years of experience in the electric vehicle charging industry to expand GM's charging footprint and drive sustainable transportation initiatives. Responsibilities include leading critical projects, developing business strategies, and creating new charging investment models.

The Channel Sales Lead will be responsible for identifying, qualifying and recruiting key channel sales partners to sell GM Energy Home Energy Management Solutions to residential customers. They will also develop go-to-market strategies, train channel partners, and monitor program performance.

The Senior Data Engineer will collaborate with the Marketing Applied Sciences team to develop data products for analytics solutions, design and develop data products compliant with data privacy policies, drive adoption of cloud-first technologies, automate data processes, and stay updated on emerging trends in Data Engineering.