Top Big Data Jobs in Los Angeles, CA

Supports sales and service operations by preparing kits and summaries, retrieving materials, coordinating activities, troubleshooting requests, and completing special projects. Works independently with limited direction while serving as a resource to teammates and supporting sales teams and distribution partners. The role requires strong organization, communication, prioritization, and problem-solving skills, along with customer service experience and proficiency in Microsoft Office.

Lead strategic insights and ad measurement projects, analyze complex datasets, craft narratives connecting brand lift to business outcomes, partner with clients and cross-functional teams, and drive process improvements and customer-facing recommendations.

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.

Develop and execute lifecycle and growth marketing programs for B2B SaaS developers, driving platform adoption, retention, expansion, and revenue. Own campaigns across onboarding, activation, re-engagement, and monetization; optimize messaging, channels, and user journeys through experimentation and A/B testing. Partner with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations. Analyze customers, markets, and KPIs to identify growth opportunities and deliver measurable programs.

Senior Director responsible for leading growth-focused product management at MongoDB. The role is associated with MongoDB Atlas, a globally distributed, multi-cloud data platform available across AWS, Google Cloud, and Microsoft Azure. Specific day-to-day responsibilities and qualifications were not included in the provided description.

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.

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.

As a Revenue Operations Analyst II, you'll optimize merchant lifecycle processes, manage lead routing, support attribution tracking, and collaborate across teams to enhance lead management efficiency.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan-performance models; and provide funding strategy insights. Partner with Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product, and Engineering teams to support funding, product, and business decisions. The role also involves collaborating with accountants, rating agencies, and internal and external partners.

Investigate and resolve complex customer complaints escalated by executives, internal teams, and bank partners. Communicate empathetically with customers by email, document complaints accurately, coordinate with Compliance, Legal, Risk, Product, and Communications, and identify root causes and remediation options. Lead process-improvement workstreams, contribute to operational improvements, and build expertise in financial products, servicing processes, consumer finance policies, and regulatory requirements.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.