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.

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.

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.

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.

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.

Leads pre-sales professional services engagements, including scoping, proposals, quotes, statements of work, business cases, forecasting, and bookings. Partners with account executives, sales engineers, delivery teams, support, and resilience stakeholders to position services, conduct customer workshops, align scope with post-sale outcomes, and support larger deal closures. Requires expertise in change management, transformation, data protection, cloud, cyber resilience, and security. Travel is required up to 10%.

Manage medium- to large-scale IT projects from initiation through completion, including software implementations, system integrations, data solutions, requirements, schedules, budgets, risks, resources, and delivery. Lead cross-functional teams, coordinate business and technical stakeholders, support statements of work and client presentations, manage project financials, and identify opportunities for business development. The role requires strong consulting, client delivery, communication, planning, negotiation, and stakeholder management skills, with potential travel based on project needs.

Supports compensation operations in Workday and related HR systems by maintaining data, generating reports, conducting audits, testing system updates, and supporting annual and off-cycle compensation cycles. Coordinates documentation, meetings, trackers, templates, and leadership materials. Identifies data discrepancies, resolves issues, escalates risks, and contributes to process improvements, reporting enhancements, and administrative workstreams while maintaining confidentiality and data accuracy.