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 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. Cross-Functional Leadership • 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. Preferred • 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. Hiring Timeline: • 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 . Texting Privacy Policy and Information: You may receive text messages regarding your application and potentially regarding interview scheduling. No mobile information will be shared with third parties/affiliates for marketing/promotional purposes Message frequency will vary depending on the application process. Msg & data rates may apply. OPT out at any time by texting "Stop".

Requirements

Must-haves

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 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.
Cross-Functional Leadership • 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
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.
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
Professional development opportunities and continuous training.
A supportive and dynamic work environment with opportunities for growth and advancement.

Nice-to-haves

Required • Bachelor's degree in Business, Engineering, Computer Science, or a related field (MBA preferred).
Preferred • Experience in automotive retail technology, dealership service/fixed-ops software, recall, retention, or insurance/warranty claims products.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigosql

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Professional Development