Lead Product Manager, Auto Recall Engagement in Laguna Hills, California at NCC/ProMax
NewRemoteJob Function: MarketingEmployment Type: Full-Time
NCC/ProMax
Laguna Hills, California, 92653, United States
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Job Description
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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
What You’ll Have:
Required
What We Offer:
We are an equal employment opportunity employer and a drug-free workplace.
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.
- Conduct dealer interviews and service-drive observation to validate the recall-to-retention workflow before committing to build.
- Partner with Engineering and Data Science to assess feasibility of multi-layered data matching across vehicle databases and secondary-owner resolution.
- Write clear specs and acceptance criteria for the dedicated NPI Engineering Pod.
- Own launch readiness, including sales enablement, support documentation, and rollout sequencing.
- Partner with Marketing on go-to-market strategy and positioning against existing service-retention tools dealers may already use.
- Coordinate with the Compliance Audit and Co-op Submission product managers within NPI to share data infrastructure and avoid duplicate build.
- Continuously assess technical, market, and adoption risk, and recommend
What You’ll Have:
Required
- Bachelor's degree in Business, Engineering, Computer Science, or a related field (MBA preferred).
- 5-8 years of product management experience, including direct ownership of at least one zero-to-one or early-stage product launch.
- Experience building AI-native products, where AI is the core value proposition rather than a bolt-on feature.
- Proven ability to build business cases and financial models (TAM/SOM, ROI) that support investment decisions.
- Strong analytical skills; comfortable with SQL, dashboards, and product analytics tools.
- Excellent written and verbal communication; able to distill ambiguous market signals into a clear, persuasive narrative for executive leadership.
- Experience in automotive retail technology, dealership service/fixed-ops software, recall, retention, or insurance/warranty claims products.
- Familiarity with vehicle history or safety-bulletin data sources (NHTSA, Carfax, AutoCheck, or similar) and multi-source data matching.
- Background in customer retention, lifecycle marketing, or multi-channel outreach automation.
What We Offer:
- Competitive pay
- Unrestricted PTO
- Comprehensive benefits package, including health, dental, and vision insurance.
- 401(k) plan with company match.
- Professional development opportunities and continuous training.
- A supportive and dynamic work environment with opportunities for growth and advancement.
- TA Screen
- Culture Index Survey
- Hiring Manager Video Interview
- Tech Team Video Interview
- CEO Video Interview
- Offer
We are an equal employment opportunity employer and a drug-free workplace.
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Job Location
Laguna Hills, California, 92653, United States
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