Top Big Data Jobs in Los Angeles, CA

Develop and maintain a globally distributed advertising server and buying platform. Responsibilities include full-stack design, coding, testing, releases, production support, code reviews, technical planning, troubleshooting, and collaboration across teams. The role requires Java backend development, asynchronous programming, database and SQL expertise, algorithmic problem-solving, and management of competing priorities. Ad technology and header bidding experience are preferred.

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.

Own Rubrik’s customer story and CXO Visionaries programs from recruitment and discovery through content production, events, awards, and executive engagement. Develop technically grounded customer narratives, manage editorial workflows and external vendors, track story impact, and partner with sales, PR, product, engineering, alliances, and events teams. Build scalable processes and quality standards while translating cybersecurity and data resilience outcomes into compelling proof points for senior business and technology audiences.

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 a high-volume mid-market portfolio of 50–60 B2B client and broker accounts. Drive engagement, satisfaction, retention, and measurable ROI through account health monitoring, KPI analysis, engagement plans, client meetings, reporting, and proactive risk management. Coordinate with Sales, Strategic Account Management, and Member Services to resolve issues and deliver client initiatives. Manage multiple projects, lead stakeholder communications, and represent the company in client sessions with up to 20% travel.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Leads a field-based team supporting GM dealerships with parts revenue, service operations, customer retention, warranty administration, technician training, and customer experience. Owns zone revenue and performance KPIs, analyzes dealer marketing and merchandising, implements business plans and countermeasures, and drives continuous improvement. Requires strong automotive business knowledge, leadership experience, data analysis skills, frequent travel, and residence or relocation within the assigned territory.