Cox Enterprises
Cox Enterprises Offices
Cox Enterprises is headquartered in Atlanta and has 7 office locations.
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
U.S. Office Locations
Atlanta, GA
Austin, TX
Burlington, VT
Carmel, IN
Draper, UT
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13693 S 200 W, Draper, Utah, United States, 84020 2414
Irvine, CA
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217 Technology Dr, Irvine, California, United States, 92618 2400
North Hills, NY
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3400 New Hyde Park Rd, New Hyde Park, New York, United States, 11042 1226
Recently posted jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Lead the design and development of scalable data pipelines, data products, and cloud-native platform capabilities. Provide architectural guidance, establish engineering standards, mentor engineers, and collaborate with product, analytics, engineering, and data science teams. Drive platform modernization, self-service workflows, containerized execution, AI-enabled data capabilities, reliable SDLC practices, and enterprise data solutions. Rotational after-hours on-call availability may be required.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages and grows a portfolio of automotive dealer accounts for Autotrader and Kelley Blue Book products. Responsibilities include retaining and expanding subscription revenue, forecasting sales pipelines, conducting ROI reviews, identifying cross-sell opportunities, consulting on dealer challenges, coordinating referrals and implementations, and resolving customer issues. The role requires territory travel, relationship building with dealer decision-makers, and data-driven sales presentations.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Build and operate metadata-driven AWS and Snowflake data pipelines, ingestion frameworks, governed data models, and quality controls. Own features from source onboarding through production release, implement PII governance and observability, troubleshoot production incidents, modernize legacy code, and support BI and AI workloads. Mentor onshore and offshore engineers, review code, partner with product and architecture teams, and maintain documentation, runbooks, and delivery standards.
