Top Big Data Jobs in Los Angeles, CA

Own and execute Magnite’s mobile in-app advertising product strategy for the DV+ platform. Lead mobile initiatives, SDK integrations, product prioritization, customer and partner feedback, cross-functional delivery, documentation, go-to-market activities, and adoption. Serve as the internal mobile advertising subject matter expert while using data and AI tools to develop scalable solutions and improve operational efficiency.

Manage technical escalations for the DV+ platform, analyze large datasets with SQL and Excel, leverage AI tools to automate workflows, troubleshoot complex integrations and APIs, and coordinate cross-functional teams to drive scalable operational solutions.

Manage post-sale relationships with Tier 1 brand and agency clients, launching, monitoring, optimizing, and reporting on programmatic and native advertising campaigns. Analyze accounts to improve performance, identify upsell opportunities, conduct quarterly business reviews, collaborate cross-functionally, and travel monthly to visit clients.

Serve as the strategic compensation partner for Sales, advising senior leaders on offers, equity, leveling, promotions, retention, benchmarking, and compensation cycles. Analyze market and internal data, support incentive-plan governance and modeling, lead competitive intelligence, improve compensation programs, manage strategic projects, and develop manager enablement materials. Partner closely with Finance, Sales Operations, Recruiting, Legal, and HR while presenting recommendations to executive stakeholders.

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.

Supports healthcare mergers, acquisitions, partnerships, and strategic investments through financial modeling, valuation, due diligence, transaction execution, opportunity research, and executive presentations. The Analyst develops DCF and comparable-company analyses, evaluates synergies and operational impacts, coordinates with internal teams and external advisors, prepares investment memoranda, and improves deal-management processes.

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.

Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Lead security architecture and design reviews, define standards for protecting sensitive healthcare data, build automated defenses, guide security monitoring and incident response, translate complex objectives into engineering requirements, and mentor engineers through code and design reviews.

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.