Top Big Data Jobs in Los Angeles, CA

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.

As a Senior Advertising Sales Manager, you will manage strategic partnerships with brands and agencies in the Health/Fitness sector, driving revenue growth, developing client relationships, and advocating for the company's platform,

The Account Development Representative interacts with leads to explain solutions and qualify them into sales opportunities, while collaborating with the sales and marketing teams.

The Field Marketing Scaled Programs Manager will design and optimize scalable marketing programs, analyze data for performance insights, and manage cross-functional collaboration and reporting.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The Workplace Operations Lead will manage the office environment, daily operations, and team support to ensure a productive workplace.

Manage and coordinate a portfolio of waste-reduction initiatives with initial focus on manufacturing waste, rework, and overweight-by-design. Translate strategy into roadmaps, drive cross-functional governance, track progress and value delivery, support pipeline development, provide project management for high-priority efforts, and report performance to senior leaders.

The M&A Analyst supports business growth by evaluating and executing mergers and acquisitions in healthcare, analyzing financial impacts, and preparing presentations for leadership.

As an Engineer II for Backend APIs, you'll design, develop, and test APIs for the Reporting & Insights team, collaborating closely with product and engineering teams. Your role involves ensuring high code quality, ownership of services in production, and leveraging AI tools in development.