Top Tech Jobs & Startup Jobs in Sacramento, CA

As an Engineering Manager on the Data Feeds team, you will lead up to eight engineers in developing on-chain data products for decentralized finance. You will ensure high reliability and performance while aligning with various stakeholders and adapting to evolving project requirements.

The Director of Revenue Marketing will create and implement a scalable marketing strategy focused on new business pipeline and revenue targets. Responsibilities include developing pipeline generation strategies, leading targeted multi-channel campaigns, aligning sales and marketing efforts, and overseeing marketing operations to drive predictable revenue growth.

You will collaborate with customers to design model deployment solutions on platforms such as AWS SageMaker and Azure ML, enhance model discoverability through a Data Science Catalog, integrate model monitoring for deployment health, and expand LLM hosting capabilities to improve performance and scalability.

The Senior Technical Support Engineer at Wasabi will integrate applications with Wasabi Cloud Storage, analyze root causes of technical issues, collaborate with engineers, and provide technical leadership in resolving complex problems. You'll ensure seamless customer success by supporting mission-critical systems in the cloud storage domain.

The Experience Banker provides remote support via phone and online chat for various banking services. Responsibilities include assisting customers with online banking issues, processing account changes, verifying online enrollments, answering inquiries, and supporting the Experience Banking Manager.

The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.