Top Tech Jobs & Startup Jobs

Lead a global team to define and execute an AI-first content strategy for English language learning, drive content monetization, transform workflows to adaptive digital experiences, manage operations and budgets, and anticipate market trends to maintain competitive advantage.

Lead design and delivery of scalable analytics, BI, forecasting, and AI-driven solutions for RevOps Sales Intelligence. Partner cross-functionally to improve data quality, governance, automation, and self-service analytics using cloud data platforms and modern ML/Generative AI techniques. Manage roadmap, stakeholder communication, and operationalize AI/analytics at enterprise scale.

Lead and scale a distributed AI engineering team (5+), focusing on people leadership, predictable delivery, and technical oversight for insights and recommendations. Drive architecture, data pipelines, SQL, ReactJS, and Java backend best practices, partner with Product/Design/Analytics, and champion Agile processes to ensure high-quality, reliable releases.

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.

Develop and QA science-focused learning content, managing editorial workflows, suppliers, and content systems (XML/CMS). Ensure pedagogical alignment, quality standards, budgets, and schedules for on-time delivery.

Provide specialized HR support for complex inquiries escalated from digital assistants. Interpret policies, manage HRIS and ticketing systems, maintain employee records, generate reports, track cases to meet SLAs, document interactions, collaborate with HR/payroll/benefits, and identify process improvements.

Lead R&D and implementation of ML and statistical learning capabilities for English language learning products. Design, build, and monitor production-ready models (NLP, speech, psychometrics), document and present results, mentor junior colleagues, collaborate with engineering, and publish research.

Engage enterprise customers to understand challenges, develop and present customized solution proposals, lead strategic workshops, collaborate with sales/product teams, ensure implementation and measurable business value, and support customers through the solution lifecycle.