Senior AI-First Product Operations Lead

Cox Automotive

Dunwoody (GA)

On-site

USD 135,000 - 225,000

Full time

6 days ago
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Benefits offered by this job

Vacation with pay
Paid holidays
Wellness time off

Job summary

Cox Automotive is seeking a Product Operations Senior Lead Product Manager to drive the adoption of AI-first product management, embed enterprise standards, and lead readiness for major initiatives across the portfolio.

You will work cross-functionally with product development teams, develop learning programs, and champion AI-native practices, maturing product management discipline with a proactive, strategic, hands-on approach.

Qualifications

  • Bachelor's degree in a related discipline and 8 years' experience in a related field.
  • Hands-on experience applying AI tools to real product management workflows with measurable results.
  • Strong ability to build key business relationships and contribute to the enterprise vision at Cox Automotive.

Responsibilities

  • Maturing Product Management: Drive processes that improve product management maturity, skills, and consistency across Cox Automotive.
  • AI-First Product Management: Lead AI-first approaches to product management across CAPTG and integrate AI tools into workflows.
  • Enterprise Stewardship: Coordinate efforts and promote awareness for Product Operations initiatives across the Product COE and CAPTG.

Skills

AI-first product management
LLMs (Claude preferred)
Prompt engineering
Agentic workflows
Stakeholder management
Communication skills
Change management

Education

Bachelor's degree in related discipline
Master's degree with 6 years experience
PhD with 3 years experience
20 years experience in related field

Tools

Claude
Pendo

Job description

Cox Automotive is seeking a Product Operations Senior Lead Product Manager to drive the adoption of AI-first product management, embed enterprise standards, and lead readiness for major initiatives across the portfolio.

You will work cross-functionally with product development teams, develop learning programs, and champion AI-native practices, maturing product management discipline with a proactive, strategic, hands-on approach.

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