Top Tech Jobs & Startup Jobs

Lead and scale a distributed engineering organization (10–20 engineers) for the Insights & Recommendations domain. Drive people leadership, hiring, performance management, and predictable delivery across multiple Scrum teams. Provide architectural oversight for data-driven applications, analytics pipelines, and web platforms while partnering with Product, Design, and Analytics to meet business outcomes.

Sell courseware and digital learning solutions to colleges and universities in Business & Economics. Build pipeline, meet sales targets, engage campus stakeholders via in-person and virtual selling, use CRM and analytics to drive strategy, and collaborate with cross-functional teams to execute account plans and improve learner outcomes.

Lead architecture and implementation of a scalable, AI-powered Guided Study platform. Design full-stack systems (React, Java, Python, SQL), integrate LLMs and RAG, build data pipelines, mentor senior engineers, and collaborate with product, data science, UX, and content teams to deliver personalized learning experiences.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.

Serve as technical leader and solution architect for Salesforce marketing platforms. Design end-to-end architectures, own implementation and integrations, enable stakeholders with documentation and training, enforce governance and standards, and guide platform modernization including Data Cloud and Marketing Cloud Next adoption.

Lead architecture and implementation of a scalable, AI-powered Guided Study platform. Drive full-stack design (React, Java, Python, SQL), integrate LLMs and RAG pipelines, build agentic AI workflows, mentor senior engineers, and collaborate with Product, Data Science, UX, and Content to deliver personalized learning experiences.

Lead complex, cross-functional AI programs end-to-end: translate strategy into integrated plans, drive multi-team execution, mitigate risks (data, model, compliance), apply ML lifecycle practices, use Agile/kanban methods, manage budgets/vendors, communicate to senior stakeholders, and mentor other program managers to improve AI program standards.

Lead cross-functional delivery of School IT Services programs for K-12 virtual and blended operations. Translate roadmap into project plans, manage risks and dependencies, coordinate engineering/IT/security/vendor teams, drive 4-in-the-box operating cadence, communicate to stakeholders, and support release readiness, training, and adoption aligned to the school year.

Lead research, design, and deliver Pearson's scalable learner model and AI-driven features. Partner with product, engineering, and design to define data requirements, build prototypes, maintain data pipelines, ensure data quality, and translate research into production ML capabilities and business growth.

Improve performance and scalability of web applications by identifying and resolving front-end and back-end bottlenecks. Optimize load times, API responses, and database queries; develop scalable features across the stack, monitor performance, conduct code reviews, troubleshoot production issues, and collaborate with product, design, and engineering teams.