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.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

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.

Administers and analyzes sales compensation programs, including commission payout processing, data auditing, dispute resolution, plan modeling, reporting, and dashboard maintenance. Partners with sales, finance, and HR teams to ensure accurate payouts, compliance, documentation, and process improvements. Requires strong Excel modeling skills, CRM and incentive compensation platform experience, analytical ability, communication skills, and independent judgment.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Serve as the senior technical authority for global public cloud architecture across strategic customer engagements. Define reference architectures, standards, guardrails, and cloud service offerings; lead complex multi-region and multi-cloud designs; advise executive stakeholders; partner with Sales, Product, Engineering, Support, and Customer Success; build reusable automation and technical IP; mentor architects; establish competency standards; and influence product roadmaps and delivery methodology.

Leads a global Deal Operations team responsible for exception quoting, case management, approval queues, service levels, and quarter-end execution. Drives cross-functional improvements across Sales, Finance, Renewals, IT, and CPQ, translating system complexity into recommendations, reducing manual work through process optimization and automation, and serving as the escalation point for complex quoting. Manages team performance, hiring, documentation, governance, and operational change.