The CSM ensures customers achieve their business goals and see value throughout their journey with Blackboard LMS. This includes managing account engagements, driving adoption, and identifying expansion opportunities while acting as an internal advocate for the customer.
Blackboard
9 Remote Job Openings at Blackboard
Serve as a post-sale technical advisor for Blackboard customers to drive product adoption and long-term value. Provide expert guidance on technical architecture, SIS integrations, and complex problem-solving for higher-education environments.
Lead and grow high-performing software engineering and QA teams while fostering a culture of quality and continuous improvement. Drive the delivery of scalable software features and shape the long-term technical strategy and architecture of the Blackboard platform.
Provide multi-level technical troubleshooting and support to Blackboard LMS customers via phone and email. Document issues, reproduce bugs, and publish fixes to the Knowledge Base while representing the voice of the customer.
Lead the assessment of information confidentiality, integrity, and availability through the global Information Security Management System. Manage risk assessments, compliance audits, and the translation of complex regulatory frameworks into practical security controls.
Responsible for drafting and negotiating software license and service agreements to support a global sales organization. Ensures customer compliance with legal terms and conditions while collaborating across internal corporate functions.
Provide operational support for Microsoft D365 Finance and Operations, interfacing with Finance, Accounting, and Procurement teams. Coordinate between business stakeholders and developers to implement system enhancements and maintain data quality.
The Technical Lead will establish the culture, norms, and standards for AI-native development, focusing on designing, architecting, and building the core multi-layer system for a new AI product. This role involves owning the full technical vision and recruiting a small senior team to build alongside the lead.
Engineers will own features end-to-end, spanning from data pipeline construction to building the student-facing interface, requiring them to act as architects and reviewers directing AI development agents. Key ownership areas include developing student-facing product interfaces, real-time AI intelligence features, backend integration services, and managing deployment infrastructure and data storage architecture.