Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead end-to-end AI/ML initiatives to improve student retention, engagement, and enrollment. Architect and operate data pipelines, feature stores, and production ML systems; deploy, monitor, and automate models; run experimentation programing and measure business outcomes. Mentor team members and set technical standards across Product, Engineering, and CX.

Owns day-to-day integrated marketing execution and full-funnel performance for university partners. Manages campaigns, approvals, launches, performance reporting, optimization, testing, partner communications, brand compliance, and marketing budgets. Leads cross-functional initiatives, supports strategic planning and escalations, provides guidance to junior team members, and applies partner-specific research and insights to improve leads, applications, enrollments, and retention.

Build, configure, test, deploy, and optimize lifecycle marketing automation workflows. Configure audiences, personalization, segmentation, and engagement logic; perform quality assurance; monitor performance; troubleshoot issues; maintain documentation; and collaborate with marketing, automation, and cross-functional teams to deliver reliable, personalized student engagement.

Leads media innovation and experimentation to improve acquisition economics, lead quality, enrollment, and partner outcomes. Develops new advertising models, evaluates media suppliers, oversees affiliate strategy, monitors marketplace and technology developments, and scales successful tests through playbooks, measurement frameworks, and operating models. Builds organizational capability in AI, automation, media intelligence, and emerging channels while educating stakeholders and discontinuing underperforming initiatives.

Lead design, build, and operate scalable Databricks/Delta Lake data pipelines and Kimball dimensional models using dbt. Manage governance with Unity Catalog, optimize performance and cost, operationalize ML with MLflow, and coordinate/quality-check offshore vendor engineering. Mentor engineers, uphold standards, and deliver trusted data products that power analytics, reporting, and MLOps workflows.

Own Risepoint’s off-site AEO and AI citation strategy for university partners. Manage outreach, link development, content placement, and vendor relationships; identify publications and aggregators cited by AI engines; build digital PR relationships; monitor AI visibility; and translate citation performance into investment priorities and executive reporting. Collaborate with SEO, content, brand, and integrated marketing teams to expand AI-driven enrollment visibility.

Leads analytics for SEO, AI search, website experience, CRO, and the organic enrollment funnel. Diagnoses performance across traffic, visibility, conversions, leads, applications, and enrollments; designs measurement approaches; reconciles web, search, CRM, and platform data; defines KPI and reporting requirements; and translates findings into executive recommendations. Partners with analytics and engineering teams to build scalable Databricks-based reporting and improve measurement of organic and AEO initiatives.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Lead end-to-end analytical initiatives on partner enrollment funnels, ensure data quality, build reporting pipelines with BI/engineering, use AI-assisted tools to accelerate analysis, translate insights into strategic recommendations for leadership, and coach growing analytics team members.

Lead end-to-end Salesforce-centric architecture and integrations across cloud platforms (.NET, Azure, AWS). Design scalable, secure solutions, oversee data migrations, mentor engineers, and contribute hands-on development and operational troubleshooting.