AI Go To Market Leader
Verizon
✨ Why This Is a Good Vibe Coding Job
Verizon has fully leaned into the 'vibe coding' movement, explicitly seeking leaders who use Claude Code and Lovable to shortcut traditional dev cycles. You won't just manage; you'll architect agentic workflows and RAG systems using a high-velocity, hacker-first approach that prioritizes rapid feedback and AI-assisted execution.
The Role: AI Architect for Revenue Growth
In this high-impact leadership position, you will serve as the primary architect for Verizon’s AI-driven revenue engine. You’ll lead a specialized team to move beyond static data analytics, instead building dynamic, agentic workflows and RAG (Retrieval-Augmented Generation) systems that empower sales and marketing teams. This is a hybrid role that demands a 'hacker' mentality—you aren't just managing projects; you are rapidly prototyping tools that remove friction from the customer journey and turn complex sales processes into intuitive, AI-native experiences.
The Tech Stack & Vibe Coding Approach
This role is built for developers who have mastered the art of AI-assisted engineering. You will leverage a sophisticated AWS stack, including Bedrock, Lambda, and Redshift, to build production-grade infrastructure. Most importantly, the job explicitly encourages 'vibe coding' methodologies. You’ll use cutting-edge tools like Claude Code, Lovable, and GitHub Copilot to accelerate the development lifecycle, moving from a conceptual idea to a deployed full-stack MVP in a matter of days.
Key Responsibilities & Growth
- Architectural Strategy: Design and deploy large-scale AI solutions and agentic design patterns within a secure cloud ecosystem.
- AI Evangelism: Act as a mentor and internal consultant, running workshops to teach the broader organization how to 10x their productivity using reasoning models and prompt management.
- Rapid Prototyping: Use Agile-for-GTM cycles to experiment with lead enrichment, automated outreach, and real-time audio analysis tools.
- Leadership: Manage a team of engineers while maintaining a product-focused mindset that prioritizes actionable outputs for end-users.
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Source: workday