Top Big Data Jobs in Los Angeles, CA

Manages and grows a portfolio of ad-serving clients by driving revenue, upselling SpringServe tools, onboarding and training clients, and optimizing yield. Builds consultative relationships across the CTV ad tech ecosystem, leads strategic business reviews, captures product needs, coordinates cross-functional execution, and tracks account activity in Salesforce. The role requires strong presentation, communication, organizational, problem-solving, sales, and relationship-management skills.

Conduct healthcare economics research and quantitative analysis using clinical, financial, claims, and operational data. Develop SQL and Python queries, statistical models, performance metrics, dashboards, visualizations, and financial reports. Apply data governance and quality practices, identify medical cost and utilization trends, and provide actionable recommendations to business and leadership stakeholders. Lead analytical projects, collaborate with partners, perform ad hoc analyses, and present findings in leadership-ready formats.

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.

Lead vision, strategy, roadmap, customer discovery, monetization, delivery, go-to-market, and post-launch health for MongoDB’s Client Libraries portfolio. Own high-impact product decisions across database drivers, SDKs, ODMs, and framework integrations. Influence cross-functional teams and senior stakeholders, manage enterprise customer relationships, identify technical and operational risks, develop business cases, support launches, and mentor junior product managers.

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.

As a Senior Security Engineer, you'll lead AWS cloud security, manage security operations, and implement Zero Trust principles while using AI-powered tools for automation and incident response.

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 product marketing for cloud data protection: define strategy and positioning, run GTM launches and campaigns, produce content and sales enablement, manage competitive and analyst relations, and partner cross-functionally to drive revenue, adoption, and market awareness.

Lead Rubrik’s global Professional Services Partner Enablement program, establishing governance, compliance, onboarding, performance monitoring, and lifecycle processes. Collaborate with global practice leaders, education teams, services leadership, and engineering to align enablement objectives. Develop specialized tracks for GSI, MSP, and SI partners, strengthen partner relationships, and scale the ecosystem through strategic program management and cross-functional execution.

Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.

Own and improve vulnerability management across cloud, on-premises, network, and endpoint environments. Responsibilities include scanning, triage, risk-based prioritization, remediation coordination, SLA tracking, exception management, closure validation, asset reconciliation, reporting, incident support, on-call participation, and audit documentation. The role partners with Engineering, SRE, IT, and Infrastructure teams and uses security tooling and AI-assisted workflows to reduce exposure and recurring vulnerabilities.