You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you’ll be doing...As an AI Strategy & Implementation Lead, you will architect, prioritize, and execute a high-volume pipeline of AI initiatives, autonomous workflows, and agentic solutions across Integrated Marketing and Marketing Operations.
Operating as a rare "builder-consultant" hybrid, you will translate complex marketing challenges into secure, scalable AI assets. You will bridge the gap between business strategy and hands-on execution, driving enterprise-scale productivity through next-generation AI automation.
Process Discovery & Value Mapping: Proactively embed within integrated marketing teams to shadow creative, media, and campaign workstreams. Map their operational pipelines, identify manual bottlenecks, and independently surface high-value opportunities for AI intervention.
Asset Development: Design, build, and deploy custom Gems, multi-agent orchestrations, and secure RAG (Retrieval-Augmented Generation) workflows.
Platform & Governance: Serve as the resident expert on Google’s AI suite (Gemini, Vertex AI, Workspace Studio) while enforcing prompt engineering standards, data privacy, and ethical guardrails.
Scale & SOPs: Identify high-potential, localized workflows and scale them into repeatable, enterprise-wide Deployable Assets and Standard Operating Procedures (SOPs).
We are seeking a rare "Builder-Consultant" hybrid who possesses the business acumen to advise senior marketing leadership and the technical competency to independently build prompt logic, write code, and configure APIs. You act as a seamless translation layer between the marketing suite and technical systems. You don't wait for a marketer to hand you a technical requirement document; instead, your baseline marketing knowledge allows you to listen to a campaign challenge or a pipeline delay and instinctively deduce the prompt logic, RAG architecture, or automation workflow needed to solve it. Crucially, you are an innate, relentless problem solver who looks past AI hype to design efficient, secure, stable systems focused entirely on delivering measurable business ROI and process efficiency.
You’ll need to have:
Bachelor's degree or four or more years of work experience
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience in marketing operations, management consulting, or tech implementation.
MarTech & Process Optimization Experience: Proven experience mapping integrated marketing pipelines, asset lifecycles, or campaign production workflows. You possess a strong working knowledge of how modern marketing moves from brief to execution, enabling you to pinpoint friction points natively.
Advanced Google AI Proficiency: Hands-on experience developing within Google's enterprise ecosystem (Gemini Advanced, Vertex AI, NotebookLM) alongside deep structural understanding of prompt logic, RAG, and autonomous agent tool-use.
Core Technical Competencies: Practical coding experience with Google Apps Script, Python, or building API integrations to dynamically connect Large Language Models (LLMs) to external data streams.
ROI & Problem-Solving Mindset: A proven track record of independently troubleshooting technical logic/data failures and translating builds into measurable business results (e.g., hours optimized, throughput increase).
Even better if you have one or more of the following:
Experience managing high-volume innovation pipelines or scaling digital transformation trackers within a Fortune 20 enterprise framework.
Strong background in data/analysis optimization, including data cleaning, sheet automation, vector database understanding, and large dataset trend analysis.
Proven track record of developing custom multi-agent frameworks, automated workflow templates, or detailed technical enablement documentation.
Exceptional communication skills with the capability to translate complex technical AI application logic clearly into high-level business strategy for non-technical business partners.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and CompensationOur benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $115,500.00 - $201,000.00.The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $115,500.00 - $201,000.00.Skills Required
- Bachelor's degree or four or more years of work experience
- Six or more years of relevant experience
- Experience in marketing operations, management consulting, or technical implementation
- Proven experience mapping integrated marketing pipelines and optimizing campaign production workflows
- Hands-on experience with Google's enterprise AI ecosystem (Gemini, Vertex AI, NotebookLM, Workspace Studio)
- Deep structural understanding of prompt logic, RAG, and autonomous agent tool-use
- Practical coding experience with Google Apps Script, Python, or building API integrations to connect LLMs to external data
- Proven ability to troubleshoot technical logic/data failures and translate builds into measurable business results
- Experience managing high-volume innovation pipelines or scaling digital transformation trackers within large enterprises
- Background in data/analysis optimization, sheet automation, vector databases, and large dataset trend analysis
- Experience developing custom multi-agent frameworks, automated workflow templates, or technical enablement documentation
- Exceptional communication skills to translate technical AI logic into business strategy for non-technical stakeholders
Verizon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.
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Fair & Transparent Compensation — Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
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Retirement Support — Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.
Verizon Insights
What We Do
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Why Work With Us
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