Top Big Data Jobs in Los Angeles, CA

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

Provide daily administrative and operational support to sales producers: analyze and report sales data, communicate sales plan changes, manage sales logistics and materials, support onboarding and training, troubleshoot order processing, and perform special projects.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Hunt and close net-new commercial and mid-market accounts for Nasuni's cloud-native file data and hybrid cloud storage platform. Build and manage pipeline, qualify opportunities, engage channel and cloud partners, use Salesforce for forecasting, and collaborate with internal teams to meet quota and drive measurable new-logo revenue.

Lead product-focused communications for MongoDB by mining product stories, managing media relations, building executive thought leadership, partnering with cross-functional teams, shaping messaging, measuring impact, and supporting launches and campaigns across the product portfolio.

Coordinate and schedule phone, video, and onsite interviews; manage candidate communications and experience; use Greenhouse to move candidates through the process; arrange travel/accommodations; greet and support onsite interviews; assist with requisition, offer letters, background checks, and ad-hoc recruiting projects.

Own revenue and publisher accounting processes, including journal entries, accruals, reconciliations, adjustments, invoicing support, and month-end close. Execute SOX controls, support audits, analyze contracts and accounting variances, and prepare financial reporting. Partner with Financial Systems, Product, Engineering, and Operations on Oracle enhancements, system implementations, automation, and process improvements. The role supports complex publisher accounting and revenue recognition in a public technology company.

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

Manage 2-3 cross-functional software teams to deliver projects using Agile (Scrum/Kanban). Plan timelines, facilitate meetings, remove blockers, improve processes, and coordinate with program leadership on resource planning and portfolio initiatives.

Design, build, and deploy production-scale ML models and ranking systems for personalization and advertising. Take end-to-end ownership of models and services, implement evaluation harnesses and automated tests, and maintain data pipelines using Hadoop/Spark/Kafka. Collaborate across teams and present technical findings, while ensuring scalable, reliable system architecture and rapid iteration using AI-assisted coding tools.

Lead technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, POVs, and technical close. Advise on agentic stacks (Databricks, Snowflake), design POVs with success criteria, build technical champions, run architecture reviews, and align technical strategy with commercial goals to drive revenue growth.

Owns direct enterprise sales across a national territory of education employers, including universities, school districts, benefits pools, and associations. Manages prospecting, quotas, pipelines, and end-to-end RFP pursuits involving consultants, procurement, finalist presentations, and governance approvals. Builds strategic relationships with education benefits consultants, pool administrators, and benefits directors while communicating competitive value propositions. Requires deep health benefits and education-sector sales expertise, enterprise selling experience, data literacy, and sales process development skills.