AI Go To Market Associate Director

About the role

As the Associate Director of Systems Architecture for Revenue Operations, you will be the primary architect and "AI Copilot" for our GTM engine. You will lead a specialized team of contracted engineers to move beyond basic analytics and build agentic workflows and RAG systems that directly supercharge our sales and marketing teams.

Responsibilities

• Blueprinting: Design large-scale AI solutions, their architecture and the integration with modern enterprise cloud ecosystems
• Discovery: Exploring and eliminating other GTM friction points by rapid prototyping AI solutions for lead enrichment, personalized outreach, and CRM automation
• Technical Strategy: Drive the strategy of the AI engineering technical team and manage its execution, keeping up to speed with the latest industry knowledge and methods for AI/ML
• Mentorship: Provide support and guidance to teammates, fostering a culture of technical excellence and sharing advanced AI methodologies
• Responsible AI: Drive the standards and principles that ensure all AI processes are transparent and secure, contributing to the definition of KPIs and auditory requirements
• AI Evangelism & Enablement: Act as the "AI Copilot" for the revenue and GTM teams. Run internal workshops, drive EnGRAM approvals, create Gemini Gems and agent instruction files, and teach the broader GTM org how to leverage AI tools to 10x their speed and conversion rates
• AI-Native Engineering & Execution: Value-driven deployment, owning the whole lifecycle of the AI-powered solutions from build to deployment to performance and cost monitoring
• System Optimization: Constantly review and refine system performance for scalability and cost effectiveness
• Developing and maintaining production-grade infrastructure for AI orchestration, including prompt management, low-latency streaming APIs, and model evaluation frameworks
• Drive Rapid "Vibe Coding" & Prototyping: Use tools like Claude Code, Codex, Lovable, LangSmith Agent Builder, to go from idea to deployed full-stack MVP in days, not weeks

Requirements

• The AWS Stack & Infrastructure: Deep expertise in AWS CloudFormation/CDK to ensure all virtual services are secure, version-controlled, and auditable
• AI & Orchestration: Expertise in AWS Bedrock, Bedrock Agent
• Core, Strands Environment & Security: Familiarity with AWS IAM, VPC, and networking infrastructure to maintain a "security-first" architecture
• Data Foundation: Experience with AWS S3, Redshift, and Aurora as the backbone for AI-powered solutions
• AI-Native Software Engineering Skills: Python (Programming Language): Advanced proficiency to guide AI agents and ensure the technical foundation is robust
• Agile Methodology: Lead the team through iterative development cycles, driving continuous improvement and continuous integration (CICD) in AI/ML workflows
• Agent-assisted coding: familiarity with a responsible use of code assistance tool such as Claude Code, AWS Kiro or Github Copilot
• Experience with Lambdas, Step Functions, API gateways and serverless solutions
• Management & Leadership Skills: A product-oriented and revenue-focused mindset: the ability to deeply empathize with a representative's workflow and design AI outputs that are instantly actionable during a live call
• Evangelist Energy: You are genuinely excited about AI. You follow the latest releases, read the relevant papers, and can explain why "reasoning models" matter to a non-technical sales or customer success stakeholder
• Methodology: You must possess an 'Agile-for-GTM' approach: prioritizing the rapid feedback loops of a sales cycle over rigid, long-term development sprints
• Tooling: Expert-level proficiency in Agile project management tools (e.g., Jira, Azure DevOps, or Linear) to track experimentation as well as production tasks as well as standard software development tools (Git, Docker) and CI/CD processes

Qualifications

• Domain expertise in Go-To-Market, RevOps, or Sales tech stacks (Salesforce, Amazon Connect, Gong, Salesloft, Marketo, Gainsight)
• Experience building real-time audio/speech-to-text processing pipelines (e.g., Amazon Connect/Kinesis, WebRTC, Deepgram, Whisper)
• Familiarity with the LangChain platform and ecosystem
• Knowledge of "agentic" design patterns

Skills

• Python (Programming Language)
• Agile Methodology
• Agent-assisted coding
• Lambdas, Step Functions, API gateways and serverless solutions
• Domain expertise in Go-To-Market, RevOps, or Sales tech stacks
• Experience building real-time audio/speech-to-text processing pipelines
• Familiarity with the LangChain platform and ecosystem
• Knowledge of "agentic" design patterns

Benefits

Our 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.

Pay

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00. The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $138,500.00 - $242,000.00.

Schedule

This is a hybrid role, with a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40