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Key skills for this role
Create user stories aligned to established product vision and features (epics), emphasizing AI-driven capabilities such as workflow automation, predictive insights (e.g., sales forecasting, service recommendations), and generative experiences (e.g., content suggestions, conversational tools).
Assist in backlog management for sprint teams; partner with R&D, Data Science, and Scrum Master to prioritize work based on customer value, data readiness, and AI feature impact.
Support full lifecycle delivery including definition, development, beta testing, showcase, and retrospective.
Work with Product Managers, Product Marketing, Engineering, and Data teams to clearly articulate value propositions for AI-enabled features.
Ensure alignment between technical feasibility (models/data) and dealer business needs.
Leverage analytics, user feedback, and experimentation to evaluate feature performance and guide improvements.
Support testing and validation of AI features, including usability and outcome effectiveness.
Learn and track key success metrics such as adoption, profitability, NPS, throughput efficiency (e.g., time saved in dealership workflows), and AI-specific metrics (e.g., model accuracy, utilization).
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Understand how these metrics relate to user stories and feature performance.
Invest in building functional expertise in dealership operations and CDK platforms.
Develop practical understanding of AI/ML fundamentals, including limitations, bias, and explainability.
Partner with senior Product Managers to translate dealership pain points into scalable, intelligent product solutions.
Follow all CDK Global policies and procedures
Complete all mandatory assigned compliance tasks and acknowledgements
Meet or exceed all performance expectations
Automotive retail software company serving dealerships, OEMs, and heavy-truck retailers with cloud-based business-management technology.
Visit company websiteFull-time
Entry · 1+ years experience
Onsite
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