Top Big Data Jobs in Los Angeles, CA

Provides remote customer service for healthcare providers, health plans, and IPAs. Resolves concerns involving claims, authorizations, and IPA functionality; interprets contracts; documents issues; coordinates follow-up; and communicates timely resolutions. The role also supports surveys, quality and call-volume standards, occasional staff training, and empathetic interactions. Full-time availability for assigned eight-hour shifts, occasional overtime, California residency, HIPAA confidentiality, and secure remote work are required.

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 and scale U.S. public sector contracting: draft and negotiate SaaS/cloud and subcontract agreements, advise on FAR/DFARS/GSA/FedRAMP compliance, support RFPs and audits, build legal playbooks, and partner with cross-functional teams to mitigate regulatory and export control risk.

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.

Lead cross-functional operations enablement programs that improve servicing scalability, compliance, efficiency, and customer outcomes. Define strategy, roadmaps, execution plans, and performance metrics; oversee knowledge management, training, technical documentation, change management, and operational readiness. Partner with Product, Engineering, Compliance, Operations, executives, and vendors across global teams. Use data and continuous improvement methods to scale processes, support launches and regulatory changes, and coach contributors.

Lead architecture, design, and delivery of Salesforce solutions for Revenue: build custom development, integrations, CPQ and CLM architecture, mentor engineers, govern platform, and partner cross-functionally to optimize Revenue systems and workflows.

Provide technical leadership for partner integrations (e.g., Shopify, Stripe), design solutions, manage project plans and timelines, support external partner technical questions, produce integration documentation, serve as SME/escalation point, recommend platform and tooling improvements, and collaborate with engineering and commercial teams to execute long-term partnership initiatives.