Responsibilities and Essential Functions:
AI-First Product Strategy & Execution
Translate product vision into prioritized features (epics) and user stories that leverage AI capabilities such as workflow automation, predictive intelligence (e.g., sales/service optimization), and generative experiences (e.g., conversational interfaces, content generation).
Identify opportunities to create platform-level AI capabilities that scale across CDK products.
Business Case & Value Realization
Develop and contribute to business cases that quantify the value of AI-enabled features, including efficiency gains, revenue lift, and cost savings.
Align product investments with strategic goals and measurable dealership outcomes.
Backlog & Delivery Leadership
Own and prioritize product backlogs, balancing customer value, technical feasibility, and AI/data readiness.
Partner with R&D, Data Science, and Scrum Masters to drive efficient execution across the full lifecycle (definition, development, testing, beta, release, retrospectives).
Cross-Product & Ecosystem Alignment
Identify and manage interdependencies across CDK product lines to ensure seamless, integrated dealer experiences.
Collaborate with other Product Managers to align on shared capabilities, data models, and AI strategies.
Customer & Market Insight
Act as the voice of the customer by synthesizing dealer feedback, behavioral data, and market trends.
Incorporate AI-driven insights and analytics into product decisions and prioritization.
Data-Driven Optimization & AI Performance
Define and monitor key success metrics, including traditional KPIs (adoption, revenue, NPS) and AI-specific metrics (model accuracy, precision/recall, utilization, automation rate).
Lead experimentation strategies (A/B testing, model evaluation) to continuously improve product performance.
Responsible AI & Governance
Ensure AI features adhere to principles of fairness, transparency, privacy, and accountability.
Mitigate risks related to bias, data quality, and model reliability.
Mentorship & Capability Building
Serve as a resource and mentor to junior product team members.
Promote AI-first product thinking and upskill the organization in data-driven and intelligent product development.
Follow all CDK Global policies and procedures
Complete all mandatory assigned compliance tasks and acknowledgements
Meet or exceed all performance expectations
Required Job Skills & Qualifications:
Bachelor’s degree in Computer Science, Business, Engineering, Data Science; OR in lieu of a bachelor’s degree, at least 7 years of related experience.
4+ years of Product Management/Product Owner experience in Enterprise SaaS environments
Proven experience delivering complex products end-to-end
Experience in Agile/DevOps and distributed teams
Strategic thinking with strong execution focus
Advanced analytical and data-driven decision-making
Ability to translate complex workflows into AI-enabled solutions
Strong communication, influence, and stakeholder management skills
Technical aptitude to collaborate with Engineering and Data Science
Travel up to 25% to engage with dealerships, customers, industry events, and internal stakeholders to gather insights, validate product direction, and support product delivery.
Leads with AI-first, platform-driven thinking
Prioritizes automation, prediction, and generative capabilities
Uses data and experimentation as core decision drivers
Designs with responsible AI principles
Focuses on measurable dealership outcomes at scale
Preferred Skills & Qualifications:
Strong experience defining and delivering AI/ML-enabled products or data-driven platforms
Deep expertise in writing features (epics), user stories, and driving product execution
Experience building business cases and aligning product strategy to outcomes
Knowledge of automotive, recreation, or heavy equipment industries
Pragmatic Institute certification or equivalent
Physical Requirements:
Operate Computer Hardware and Other Office Equipment:…