Top Senior Level Data Management Jobs in San Francisco Bay Area, CA
The Senior Manager of Data for Paid Placement will lead a team of data scientists, define technical strategy, and contribute to overall data organization. Responsibilities include project execution, roadmapping, and collaboration with cross-functional teams to achieve significant business impact through data science and machine learning initiatives.
As a Software Engineer at Twelve Labs, you'll develop data infrastructure for multimodal datasets, ensuring high-quality filtering and labeling for video-language model training. You'll scale systems for large models, mentor junior engineers, build libraries/services, manage vendor relationships, and lead projects from ideation to execution.
The Operations & Analytics Manager will develop and execute strategies to optimize operational efficiency within Aptos, managing resources, analyzing data for trends, and identifying risks. This role involves close collaboration with various teams to enhance ecosystem growth and operational alignment.
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As an Enterprise Data & Analytics Product Owner, you will develop and maintain the data warehouse roadmap, collaborate with cross-functional teams to gather business requirements, lead data model development, manage projects, optimize business processes, document requirements, and oversee user acceptance testing to ensure successful implementation of data-driven solutions.
The Financial Systems and Data Analytics Lead at Anchorage Digital will design, implement, and maintain financial data analytics and process automation systems. Responsibilities include partnering with various teams to automate accounting processes, create financial reports, and conduct data analysis supporting business strategy as the company prepares for IPO.
The Director of Engineering for the Machine Learning Platform at Reddit is responsible for leading machine learning teams, managing projects, and setting strategies to enhance recommender systems. This role includes fostering team growth, executing projects efficiently, and staying updated with the latest advancements in ML.
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