Mid Level Media Sales Consultant Jobs
Mid level media sales consultant jobs call for professionals ready to own client portfolios end to end, lead campaign negotiations, and deliver results with minimal oversight. Openings are concentrated across Accounting & Auditing, Technology & Software, and Consulting & Professional Services, with a mix of on-site, remote, and hybrid settings, and employers like EisnerAmper, 24 Seven Talent, and Huron Consulting hiring at this level now.
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Showing 5 of 133+ Mid Level Media Sales Consultant jobs
Description
Job Summary
The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities.
What You Will Do
- Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
- Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources.
- Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements.
- Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables.
- Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments.
- Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
- Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
- Bachelor's degree and 3 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support.
- Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation.
- Experience developing or integrating REST APIs, services, data pipelines, or event-driven components.
- Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments.
- Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations.
- Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks.
- Ability to implement secure integrations with enterprise identity, data, application, and observability services.
- Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
- Proven ability to create technical documentation and transfer knowledge to client technical teams.
- Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
- Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.
- Ability and willingness to travel as needed to CDW locations or client sites.
- Valid U.S. driver's license.
- Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus.
- Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus.
- Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus.
- Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus.
Pay range: $77,725 - $108,265 depending on experience and skill set
Annual bonus target of %10 subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
Description
Job Summary
The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities.
What You Will Do
- Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
- Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources.
- Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements.
- Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables.
- Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments.
- Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
- Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
- Bachelor's degree and 3 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support.
- Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation.
- Experience developing or integrating REST APIs, services, data pipelines, or event-driven components.
- Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments.
- Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations.
- Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks.
- Ability to implement secure integrations with enterprise identity, data, application, and observability services.
- Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
- Proven ability to create technical documentation and transfer knowledge to client technical teams.
- Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
- Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.
- Ability and willingness to travel as needed to CDW locations or client sites.
- Valid U.S. driver's license.
- Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus.
- Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus.
- Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus.
- Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus.
Pay range: $77,725 - $108,265 depending on experience and skill set
Annual bonus target of %10 subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
See All 133+ Mid Level Media Sales Consultant Jobs
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Find JobsMid Level Media Sales Consultant Job Market
Who's Hiring
- EisnerAmper17
- 24 Seven Talent6
- Huron Consulting6
- EY5
- MrBeast3
Top Industries Hiring
- Accounting & Auditing30
- Technology & Software22
- Consulting & Professional Services20
- Education9
- Staffing & Recruiting8
Mid Level Media Sales Consultant Jobs: Frequently Asked Questions
How do I get a mid level media sales consultant job?
Position your existing experience around measurable outcomes: revenue generated, accounts grown, or deals closed. Highlight ownership moments where you managed a client relationship or campaign from start to finish without heavy supervision. Tailor your application to show you can hit targets independently, collaborate across teams, and bring strategic thinking to media buys, not just execute tasks handed down from a manager.
Which companies hire mid level media sales consultants?
Companies hiring mid level media sales consultants right now include EisnerAmper, 24 Seven Talent, and Huron Consulting, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from media conglomerates, digital advertising agencies, broadcast networks, and publishers that need consultants who can manage accounts and grow revenue with limited ramp time.
Are there remote mid level media sales consultant jobs?
Yes, though availability varies by employer and market. About 48% of mid level media sales consultant openings are remote or hybrid as of November 2026, reflecting how much of this work centers on virtual client meetings and digital platforms. Some roles still require in-person presence for major account pitches or team collaboration, so check each listing for specific location requirements.
How do I move up to a mid level media sales consultant role?
Moving from entry level to mid level takes deliberate skill-building over several years. Focus on owning a book of business, not just supporting senior reps. Develop fluency in media planning tools, rate negotiation, and campaign analytics. Consistently hitting or exceeding quota, taking on smaller accounts independently, and demonstrating you can retain clients without close supervision are the signals that drive a promotion or a competitive mid level hire.
Which industries hire the most mid level media sales consultants?
Mid Level media sales consultant roles concentrate in Accounting & Auditing, Technology & Software, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive consistent hiring at the mid level because they run ongoing advertising and sponsorship programs that require experienced consultants who can manage complex client relationships and meet aggressive revenue targets.