Jobs at Cox Enterprises

Owns post-offer onboarding from offer acceptance through Day 1 readiness. Coordinates background checks, drug testing, motor vehicle reviews, documentation, training, travel, equipment, system access, and uniforms. Engages candidates, tracks milestones, resolves start-date risks, maintains audit-ready records, and partners with recruiters, hiring managers, Compliance, DOT, Training, IT, and other teams. Provides procedural guidance and supports workflow improvements, operational efficiency, and a high-quality candidate and hiring manager experience.

Develops new business and drives revenue across a multistate territory by selling fleet management solutions. Responsibilities include prospecting, executing consultative sales cycles, managing executive relationships, preparing tailored proposals, maintaining Salesforce pipeline forecasts, analyzing customer data, and transitioning accounts to account management. The role owns $5–10 million in new business development and requires extensive travel of up to 80%.

Provides technical leadership for Cox Automotive platforms, driving solution architecture, modernization, AWS adoption, API delivery, and generative AI initiatives. Responsibilities include shaping architectural roadmaps, aligning engineering and product stakeholders, developing reusable patterns, evaluating AI technologies, leading proofs of concept, documenting decisions, and mentoring engineering teams. The role requires extensive application, integration, platform, cloud, API, distributed systems, and DevOps expertise, along with the ability to influence technical direction across teams.

Own a regional territory and generate $5–10 million in new business by prospecting, managing complex consultative sales cycles, presenting fleet management solutions, forecasting pipeline activity in Salesforce, and building executive-level customer relationships. The role requires extensive multistate travel, collaboration through account handoff, and achievement of annual sales targets.

Provides technical leadership across Cox Automotive products by defining architectural vision, designing scalable solutions, modernizing platforms, reducing technical debt, and guiding multiple delivery teams. The role focuses on AWS-native architecture, API delivery, distributed systems, databases, DevOps, and generative AI initiatives. Responsibilities include creating architectural roadmaps and diagrams, evaluating emerging technologies, aligning stakeholders, sequencing investments, and establishing reusable platform and API standards.

Provides technical leadership for Cox Automotive platforms, driving solution architecture, modernization, AWS adoption, API delivery, and generative AI initiatives. The role aligns engineering, product, and business stakeholders; develops architectural roadmaps and standards; leads proofs of concept; evaluates AI technologies for governance and security; and mentors teams on reusable architecture patterns, DevOps, distributed systems, and production application delivery.

Serves as chief of staff and strategic partner to a senior Sales leader, setting priorities and driving execution. Leads cross-functional sales transformation, productivity, process improvement, competitive response, and organizational change initiatives. Develops executive presentations and data-driven recommendations, aligns Sales, Marketing, Product, Finance, and business partners, and maintains scalable sales processes and playbooks. Leads and mentors Senior Managers and Managers while ensuring initiatives deliver measurable results.

Provides technical leadership for Cox Automotive platforms by defining architectural direction, designing scalable applications and APIs, modernizing legacy integrations, promoting AWS-native and shared platform capabilities, and guiding generative AI adoption. Partners with engineering, product, and agile teams to prioritize investments, reduce technical debt, evaluate technologies, and maintain architectural roadmaps, decision records, diagrams, and integration models.

Provides technical leadership for Cox Automotive products by defining architectural vision, guiding solution design, reducing technical debt, and modernizing platforms. Partners with engineering, product, and agile teams to prioritize architecture investments, establish AWS-native and API standards, and promote shared platforms. Leads generative AI exploration and adoption, evaluates emerging technologies, develops proof-of-concepts, and maintains roadmaps, decision records, diagrams, and integration models. Requires extensive application architecture, API, cloud, database, software development, DevOps, and AI experience.

Provides technical leadership for Cox Automotive products by driving solution architecture, platform modernization, cloud adoption, and generative AI initiatives. The role aligns engineering, product, and business stakeholders; develops scalable APIs and distributed systems; creates architectural roadmaps and decision records; leads proofs of concept; establishes reusable patterns; and mentors teams on AI-enabled development, DevOps, governance, security, and enterprise standards.

Provides technical leadership across Cox Automotive platforms, defining architectural vision, driving solution design, modernizing legacy integrations, and aligning engineering, product, and business teams. The role develops scalable APIs and cloud solutions, champions AWS-native and generative AI capabilities, reduces technical debt, evaluates emerging technologies, and establishes architecture roadmaps, standards, and reusable platform capabilities.

Provides technical leadership for Cox Automotive products by defining architectural vision, designing scalable solutions, modernizing platforms, reducing technical debt, and guiding multiple delivery teams. The role partners with engineering, product, and agile leaders; develops APIs and cloud solutions; promotes AWS-native, shared-platform, DevOps, and AI practices; evaluates emerging generative AI technologies; and maintains architectural roadmaps, decision records, diagrams, and integration models.

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.

Build and operate secure AI platform infrastructure on AWS, including connector governance, authentication, integrations, ingestion pipelines, agents, access controls, DLP, observability, cost controls, evaluation frameworks, and feedback APIs. Mentor engineers, guide architecture, collaborate with domain teams and AWS, and support production systems through on-call participation.

Owns technical direction and end-to-end architecture for AWS Quick customization and an internal AI Artifact Hub. Leads development of connectors, agents, knowledge retrieval, data pipelines, MCP integrations, quality evaluation, reliability, observability, and incident response. Guides Python implementation, architecture reviews, enterprise integrations, and cross-functional technical alignment. Establishes engineering standards for AI-assisted development, security, governance, testing, and resilient distributed systems while contributing hands-on to complex platform challenges.

Build and maintain enterprise AI connectors and platform features using Python and AWS. Develop APIs, data pipelines, agent skills, and infrastructure; implement secure integrations, access controls, testing, monitoring, CI/CD, and Terraform infrastructure as code. Contribute to AI evaluation systems, documentation, production support, and on-call operations while learning RAG, embeddings, agent orchestration, MCP, and cloud engineering practices.

Own the architecture and technical direction of AWS Quick customization and Cox Automotive’s AI Artifact Hub. Lead development of connectors, agents, knowledge retrieval, data pipelines, MCP integrations, quality evaluation, reliability standards, and incident response. Guide Python implementation, architecture reviews, cross-functional alignment, and AWS partnership while establishing secure, scalable, spec-driven engineering practices for enterprise AI platforms.

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.

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.

Build and maintain Python-based connectors, APIs, data pipelines, agent skills, and platform tooling for an enterprise AI platform on AWS. Deliver features end-to-end, support MCP integrations, enforce access controls and data safety, and contribute to testing, monitoring, CI/CD, Terraform infrastructure, documentation, evaluations, and on-call operations. Collaborate with senior engineers while developing expertise in RAG, embeddings, agent orchestration, and AI platform engineering.