Coursedog

Artificial Intelligence

• Define and own Coursedog’s enterprise AI strategy, aligned to company priorities and business outcomes
• Build and maintain a multi-year roadmap for AI adoption, innovation, and governance
• Partner with senior leadership to translate business needs into prioritized AI initiatives and secure alignment and buy-in
• Track industry trends and emerging technologies to inform strategic direction and investment decisions
• Build and own Coursedog’s AI Central Operating System, connecting agents, data, and workflows to enable cross-functional automation and decision-making
• Oversee the design, deployment, and scaling of AI applications, agents, and integrations across the organization
• Establish standards for AI integration, data usage, security, and safe use across tools and vendors
• Lead vendor selection, tool rationalization, experimentation, and scaling of high-impact AI solutions
• Own the AI enablement operating rhythm, including roadmap execution, learning content, internal documentation, and feedback loops
• Build AI fluency across the organization through onboarding, workshops, playbooks, and function-specific best practices
• Lead a cross-functional AI Scrum Team to develop reusable assets, guidance, and support for teams
• Partner with functional leaders to embed AI into workflows, KPIs, and operating playbooks
• Define and track AI adoption, ROI, productivity gains, and business outcomes
• Translate complex technical concepts into clear, actionable insights for executives and stakeholders
• Champion AI adoption through storytelling, executive briefings, and visible wins
• Maintain reporting and feedback loops to continuously refine AI priorities and maximize impact

AI Enablement Lead

Full-stack Engineer

• Build and maintain backend services and APIs.
• Develop and maintain frontend applications using TypeScript and Vue (or similar frameworks).
• Design, implement, and maintain well-structured, testable code.
• Review pull requests and provide constructive, actionable feedback.
• Debug and improve existing systems, including legacy components.
• Improve system reliability, performance, and scalability.
• Collaborate with cross-functional partners to deliver features and resolve issues.
• Contribute to engineering documentation and best practices.

Software Engineer

Data Engineer

• Run partner and client-facing conversations about technical integrations
• Call external APIs to perform data review and manipulate CSV and JSON Data
• Work directly with clients to improve their experience and feedback
• Own all aspects of the client's technical onboarding experience
• Define new SIS integration architecture and methodologies
• Develop deep product knowledge and provide API integration expertise
• Improve time to integration and drive customer experience

Events

• Own the annual event portfolio (70+ industry events)
• Own the annual user conference
• Run regional roundtables
• Deliver a cohesive in-person brand experience
• Manage 20’x20’ booth & asset inventory
• Swag strategy & logistics
• Sales alignment & pipeline impact
• People leadership

Senior Manager, Event Marketing

Project Manager

• Lead successful, standard, out of the box customer implementations across our product suite, communicating and working directly with clients
• Get involved with our support processes; flex your critical thinking and problem solving skills to help users navigate the platform as questions arise
• Drive admin and end user functional training; develop training resources for campuses and lead tailored training meetings for institutional use cases
• Make informed, data-driven feature recommendations; source information through research and speaking with university administrators to ideate scalable solutions to present to our product team
• Work with our Data Engineering team members to support implementations
• Partner with the product team on feature recommendations
• Interact with engineering to resolve technical integration issues
• Develop deep product knowledge and speak eloquently about the product
• Demonstrate competence in our existing implementation cycle
• Empathize with the problems facing our customers
• Customer Satisfaction → Retention → Revenue → Growth