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Lead Product Manager, Auto Recall Engagement
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Job Description
#remote Who We Are: NCC has led the automotive industry for over 30 years, providing award-winning software, credit and compliance solutions, and cutting-edge data. Our solutions help dealerships streamline their operations, enhance their finance and insurance (F&I) processes, and drive profitability.
We are looking for individuals who thrive in a high-growth environment. Overview: We are seeking an experienced Lead Product Manager to own Recall Engagement, a net-new initiative that turns a safety obligation into a revenue and retention opportunity for automotive dealerships.
Recall Engagement uses AI and data forensics to detect open safety bulletins, resolve hard-to-find secondary owners, and orchestrate personalized multi-channel outreach, turning recall campaigns dealers are already obligated to run into service visits and long-term customer loyalty instead of unclaimed liability.
This is a zero-to-one build: you will own discovery through launch for a new capability with an identified $51. 4M SOM opportunity across roughly 3,568 dealer rooftops, sitting alongside Co-op Submission, Warranty Submission, Trade-In AI Valuation, and Desking Engine in NCC's New Product Initiatives pillar.
This is a high-impact role for a product leader who thrives on ambiguity, AI-native product delivery, and building a net-new product from validated hypothesis to shipped revenue. What You’ll Do: Product Strategy & Roadmap Own the roadmap for Recall Engagement from discovery through general availability.
Define the business case, including TAM/SOM sizing, ROI projections, and a build/partner assessment for data sources such as NHTSA safety bulletin data and vehicle/owner history providers. Set success metrics for outreach conversion, service-visit capture rate, and retention lift.
Represent Recall Engagement strategy to executive leadership and secure resourcing and buy-in. Discovery & Delivery Conduct dealer interviews and service-drive observation to validate the recall-to-retention
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