Top Big Data Jobs in Los Angeles, CA

The Director of Product Marketing will lead strategy and execution for product initiatives, collaborating across teams to influence decisions and drive outcomes.

Provide clinical oversight for utilization management and care transitions, conduct peer-to-peer and telephonic reviews, collaborate with network providers and client services, contribute to strategic initiatives, and support care coordination and quality/cost management across post-acute settings.

As an Engineer II, you'll develop and maintain a critical advertising platform, manage projects, and collaborate with multiple teams to deliver software solutions.

The Sr. Product Manager will shape, scale, and manage the Experience Platform, translating business needs into product requirements and collaborating with cross-functional teams to deliver impactful AI-enabled features.

The Senior Social Growth Strategist will design and execute the social strategy for Startpage across various platforms, manage content, oversee influencer partnerships, and analyze performance to enhance brand engagement and relevance.

As a Senior Software Engineer in Release Infrastructure, you will enhance developer efficiency, own critical systems, and shape internal platform vision.

The VP of Global Channels will lead Nasuni's channel sales strategy, market expansion, partner recruitment, and team leadership to drive revenue growth through indirect sales channels.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

Lead a small team to translate HR strategy into operational plans, manage operating cadence and budgets, optimize HR operations, run cross-functional projects, and define performance metrics and insights for HR leadership.

Manage and engage Buick/GMC dealerships in a designated territory to grow sales, implement marketing and product launches, coach dealership staff, monitor customer satisfaction and inventory, analyze market data, and resolve customer issues while traveling frequently to dealer locations.

Rapidly prototype AI-driven insurance products and own end-to-end delivery of prototypes/MVPs. Build full-stack applications (usable UIs, APIs, integrations), provision and manage cloud infrastructure, leverage AI tooling to accelerate development, iterate quickly, and collaborate with product and domain experts to define production readiness.