Top Tech Jobs & Startup Jobs

Leads Partner Data Integrations and Operations across two teams supporting university partners. Establishes case-management, monitoring, reconciliation, service-level, onboarding, and integration standards; drives automation and process redesign; oversees SIS integrations with systems such as Slate, Banner, and Workday; advises partner IT teams; shapes data architecture and product improvements; owns strategy, KPIs, hiring, team development, and executive reporting.

Leads the MarTech product portfolio, team, vision, and roadmap to improve student-funnel conversion and marketing efficiency. Owns capabilities across DXP/CMS, SEO/AEO, CDP, marketing automation, CRM, measurement, and AI-enabled workflows. Oversees an 80-plus-site migration, platform strategy, tool selection, multi-brand scalability, experimentation, and cross-functional delivery with Marketing, Data, Engineering, and external partners.

Own the business direction, roadmap, prioritization, and ongoing operations of Risepoint’s Partner Data Manager platform. Partner with Business Technology’s Product Owner to translate organizational priorities into business requirements, investment cases, UX improvements, and transformation initiatives. Lead intake and prioritization, manage cross-functional stakeholders, anticipate impacts across connected systems, oversee post-release follow-up, and manage the team responsible for reliable day-to-day operations.

Manage paid media performance for university partner accounts across search, display, programmatic, social, and affiliate channels. Optimize campaigns across the full enrollment funnel, monitor KPIs, manage budgets and pacing, analyze performance, and provide actionable recommendations. Coordinate with agencies, ad platforms, internal marketing teams, and university partners while supporting lead, application, enrollment, and LTV:CAC goals.

Execute SEO and AEO initiatives across university partner websites, including content audits, on-page optimization, technical SEO support, website launches, internal linking, UX reviews, and performance reporting. Monitor organic visibility, traffic, rankings, leads, applications, and enrollments while collaborating with SEO managers, engineering, platform teams, and other cross-functional partners. Maintain documentation and workflows across a complex multi-site environment.

Lead end-to-end AI/ML initiatives that improve student retention, engagement, enrollment, and re-engagement. Build and deploy predictive models, next-best-action logic, and production MLOps workflows using Databricks, MLflow, dbt, and Dagster. Own experimentation, monitoring, performance measurement, cross-functional implementation, vendor coordination, and executive communication. Mentor teammates and drive measurable outcomes across Product, Engineering, CX, and university partners.

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.