Top Big Data Jobs in Los Angeles, CA

Develop and maintain low-latency backend components for a globally distributed advertising platform. Responsibilities include writing high-performance C++ or Rust code, designing systems, testing, reviewing code, supporting production services, troubleshooting performance issues, and collaborating across teams to deliver projects.

Manages publisher clients, serving as the primary point of contact while coordinating with sales, product, marketing, and technical teams. Drives publisher revenue growth through yield analysis, optimization, relationship management, campaign setup and trafficking, and performance monitoring. Identifies issues and recommends adoption and growth opportunities while delivering data-driven insights, reports, and presentations to executive-level clients.

Leads mid-market regional sales growth by managing account executives, developing territory and partner strategies, overseeing pipeline and forecasting, supporting C-level selling, and driving customer expansion. The role recruits, develops, and enables sales representatives while collaborating with sales engineering, channel development, sales development, and partners to exceed regional revenue objectives.

Leads Enterprise Security services, setting and enforcing security standards across identity, endpoints, business applications, cloud infrastructure, networking, IoT, and automation. Partners with IT, SOC, vulnerability management, governance, and threat operations teams to secure applications, monitor environments, manage EDR policies, remediate vulnerabilities, assess risks, and maintain compliance. Also drives AI security initiatives and uses AI tools to improve enterprise security capabilities and team efficiency.

Build and maintain agent skills, tooling, and evaluation infrastructure: CLIs, libraries, CI workflows, metrics, safety gates, and observability for agent behavior. Design evaluation datasets, investigate failures, and collaborate with product and security teams to ship reliable, reusable internal systems.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

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 end-to-end delivery of ad measurement campaigns: plan, align media/assets/sampling, coordinate Ad Ops/Analytics/Product/Sales/Insights, manage timelines and risks, communicate with customers, and ensure data accuracy and actionable insights.

Own technical sales cycles for strategic enterprise accounts, including discovery, solution design, demonstrations, proofs of value, architecture reviews, and technical close. Help customers deploy and observe AI agents across platforms such as Databricks and Snowflake. Build technical champions, navigate procurement and infosec reviews, and partner with Account Executives to drive revenue growth and expansion.

Own Affirm’s B2B product marketing strategy and operating systems, including merchant narratives, segmentation, go-to-market planning, measurement, revenue enablement, and merchant feedback programs. Lead ambiguous cross-portfolio initiatives from discovery through commercialization, influence product and investment priorities, align Product, Revenue, Partnerships, Analytics, and Marketing, and coach teams toward stronger collaboration and execution.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Manages Buick and GMC dealership relationships across the Milwaukee/Madison territory. Provides consultative coaching, analyzes sales and customer metrics, supports product and program launches, optimizes vehicle and parts inventory, and drives adoption of GM products and services. The role develops territory business plans, tracks dealership commitments, resolves concerns, monitors training and compliance, and travels frequently to assess operations and support program execution.

Serves as the primary field representative for OnStar, connected services, loyalty programs, and subscription offerings across assigned dealerships. Builds dealer relationships, coaches sales and service teams, delivers training, analyzes performance data, develops action plans, supports product launches, troubleshoots technology platforms, and improves customer onboarding and loyalty. Requires up to 90% travel within the assigned territory and frequent dealership visits.