Revenue Engineer

Company Description Upscend is an AI-powered learning management system (LMS) focused on delivering measurable, guaranteed learning outcomes. The platform uses advanced artificial intelligence to personalize learning paths, optimize content delivery, and track performance with precision. Upscend partners with organizations that value continuous development and data-driven training impact. Team members join a modern, product-led company working at the intersection of education, AI, and business growth.Role Description The Revenue Engineer is a full-time, remote role responsible for designing, implementing, and optimizing revenue-related processes and systems across Upscend’s go-to-market operations. This role collaborates closely with sales, marketing, customer success, and product teams to configure tools, automate workflows, and ensure accurate data flows between CRM, analytics, and billing platforms. Day-to-day responsibilities include analyzing funnel performance, building dashboards and reports, maintaining integrations, and identifying opportunities to improve conversion, retention, and expansion. The Revenue Engineer will also support forecasting, territory design, and pipeline hygiene, while contributing technical expertise to new initiatives such as pricing experiments, lead scoring models, and revenue attribution. This role combines systems thinking, data analysis, and business acumen to help Upscend scale efficiently and sustainably.Qualifications Experience with revenue operations tools and systems (e.g., CRM platforms, marketing automation, customer success tools, data analytics solutions).Strong skills in data analysis, reporting, and dashboard creation, with the ability to interpret metrics and recommend actionable improvements.Background in process design and optimization, including workflow automation, documentation, and continuous improvement practices.Technical proficiency with integrations and APIs, and comfort collaborating with engineering or IT teams to maintain data integrity.Solid understanding of SaaS business models, revenue funnels, and key metrics such as ARR, churn, conversion rates, and lifetime value.Clear written and verbal communication skills, with the ability to translate complex technical and analytical concepts into practical guidance for non-technical stakeholders.Ability to work independently in a remote environment, manage multiple priorities, and collaborate effectively across time zones.Bachelor’s degree in a relevant field (such as Business, Analytics, Engineering, or Information Systems) or equivalent practical experience.Experience in an AI, edtech, or LMS-focused company is a plus, along with an interest in learning technologies and data-driven education.