Cox employees working on campus
Cox Enterprises Logo

Cox Enterprises

Lead Product Manager, Retail Market Data

Posted 45 Minutes Ago
Be an Early Applicant
Hybrid
Atlanta, GA
112K-186K Annually
Senior level
Hybrid
Atlanta, GA
112K-186K Annually
Senior level
Owns a retail automotive market data product end to end, including acquisition, cleansing, quality, coverage, publication, adoption, and evolution. Leads roadmap execution across two engineering teams, maintains the product backlog, defines requirements and metrics, and partners with engineering, architecture, data science, analytics, stakeholders, and external vendors. Guides consumers on data interpretation and translates technical decisions into business impact.
The summary above was generated by AI
This role owns a retail market data product at Cox Automotive end to end - from data acquisition and cleansing through publication and consumer adoption. This data product provides comprehensive retail vehicle listing coverage across the US and Canada, enabling dealers to benchmark market pricing for their inventory and powering analytics and data science capabilities across the enterprise. This is a data ownership role. You will be the authority on this data product - responsible for its quality, coverage, and evolution as the retail vehicle market changes, and for guiding internal consumers on how to interpret and use the data for their needs.
What You'll Do
Data Ownership & Stewardship
  • Own the data product end to end - cleansing, quality standards, coverage, and publication
  • Contribute to data sourcing and acquisition strategy, including evaluating new data sources and expanding coverage into new markets
  • Serve as the go-to authority on this data product, guiding internal teams on how to interpret and use the data effectively
  • Engage with stakeholders to evaluate new use cases, uncover pain points, and determine where changes to the data product are needed to deliver business value
  • Define and track data quality, coverage, freshness, and adoption metrics
  • Evolve the data product as the retail vehicle selling market changes - understanding what dealers care about when pricing inventory and how that translates to data requirements

Execution & Delivery
  • Ensure product requirements are accounted for in the modernization and growth roadmap for this data product, partnering with engineering and architecture to inform pipeline and infrastructure decisions
  • Lead product execution across 2 engineering delivery teams using Agile methodologies
  • Maintain a well-prioritized backlog with clearly defined requirements and acceptance criteria

Stakeholder & Vendor Management
  • Engage stakeholders at all levels to align priorities and communicate trade-offs
  • Participate in external data vendor partner discussions, including data quality expectations and expansion opportunities
  • Partner with front-end product teams who consume this data product to ensure it evolves to support their roadmaps
  • Collaborate with data science and analytics teams who use this data for enterprise reporting, forecasting, and insights
  • Translate technical data product decisions into business impact for non-technical audiences

Who You Are
  • Bachelor's degree in a relevant discipline and 6+ years of experience in a related field, or a master's degree and 4+ years of experience, or 10+ years of experience in a related field
  • 6+ years of experience in Product Management, Analytics, or related roles, preferably with back-end data products, data platforms, or data pipeline products
  • Proficient in writing SQL and querying data to understand product quality, coverage, and stakeholder use cases
  • Strong understanding of data products, APIs, data pipelines, and cloud data platforms
  • Comfortable participating in technical data flow and architecture discussions
  • Excellent communication skills with demonstrated ability to present to leadership and translate technical concepts for business audiences

Preferred Qualifications
  • Understanding of the retail automotive market and dealer pricing dynamics
  • Experience with data stewardship, data governance, or data quality management
  • Experience managing external vendor relationships
  • Familiarity with Agile methodologies and backlog management tools (Rally preferred)

USD 111,500.00 - 185,900.00 per year
Compensation:
Compensation includes a base salary in the range of $111,500.00 - $185,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

Cox Enterprises Irvine, California, USA Office

Cox Enterprises Irvine, CA Office

217 Technology Dr, Irvine, California, United States, 92618 2400

Similar Jobs at Cox Enterprises

44 Minutes Ago
Hybrid
163K-272K Annually
Expert/Leader
163K-272K Annually
Expert/Leader
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Owns architecture and technical direction for enterprise AI platforms, AWS Quick integrations, and an internal AI Artifact Hub. Leads development of connectors, agents, knowledge retrieval, MCP servers, data pipelines, quality systems, observability, and resilient distributed workflows. Guides Python engineering, architecture reviews, incident response, and cross-functional alignment with security, cloud, enterprise architecture, and AWS teams. Establishes standards for AI evaluation, governance, reliability, and verification-first development.
Top Skills: Amazon BedrockAWSAws Managed Ai/Ml ServicesAws QuickAws Step FunctionsCi/CdGithub ActionsGraph DatabasesIamInfrastructure As CodeKnowledge GraphsMcpOauth 2.0OidcPythonRagSnowflakeSsoTemporalTerraform
45 Minutes Ago
Hybrid
89K-134K Annually
Junior
89K-134K Annually
Junior
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Build and maintain enterprise AI connectors, APIs, data pipelines, agent skills, and platform tooling using Python and AWS. Develop features end to end, implement secure access controls, integrate third-party services, and support AI evaluation systems. Maintain CI/CD pipelines and Terraform infrastructure, monitor production systems, document solutions, and participate in on-call support. Collaborate with senior engineers while developing expertise in RAG, embeddings, agent orchestration, MCP, and responsible AI platform engineering.
Top Skills: Amazon Api GatewayAmazon S3Aws IamAws LambdaAws QuickAws Step FunctionsDatabricksEmbeddingsGitGithub ActionsKnowledge GraphsModel Context Protocol (Mcp)PythonRest ApisServerless ComputingSnowflakeTerraformVector Databases
45 Minutes Ago
Hybrid
102K-169K Annually
Senior level
102K-169K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Build and govern enterprise AI platform integrations on AWS Quick, including connectors, authentication, ingestion pipelines, agents, access controls, DLP, observability, cost tracking, evaluation frameworks, and feedback APIs. Improve the AI Artifact Hub, ensure reliability and security, mentor engineers, review designs, and collaborate with domain teams and AWS technical staff. Participate in on-call support and guide architecture and engineering standards.
Top Skills: Ai AgentsAmazon Api GatewayAmazon BedrockAmazon CloudwatchAmazon S3As400Aws IamAws LambdaAws QuickAws Step FunctionsDatabricksDlpEmbeddingsEnterprise SearchEntra IdFinopsGithub ActionsGrpcKnowledge GraphsKnowledge RetrievalMcpOauth 2.0Office 365OidcPii DetectionPythonRagRestSalesforceSeismicServicenowSnowflakeTemporalTerraformVector Stores

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account