> Markdown version of [/jobs/ext/1889652-associate-director-of-systems-architecture-for-revenue-operations](https://www.wearedevelopers.com/jobs/ext/1889652-associate-director-of-systems-architecture-for-revenue-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Associate Director of Systems Architecture for Revenue Operations

- **Company:** Verizon Communications Inc.
- **Location:** San Diego, CA, United States (Remote available)
- **Salary:** $126,000.0 - $242,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, JIRA, Microsoft Azure, Cloud Computing, Program Optimization, Continuous Delivery, Continuous Integration, Data Infrastructure, Software Design Patterns, DevOps, Programming Tools, Github, Identity and Access Management, Iterative and Incremental Development, Python (Programming Language), Project Management Software, Network Administration, Rapid Prototyping Process, Software Tools, Salesforce.Com, Software Engineering, Systems Architecture, WebRTC, Amazon Connect, Scripting, Computer Networking Systems, GitHub Copilot, Retrieval-Augmented Generation, Grafana, Multi-Agent Systems, State Machines, Model Validation, Generative AI, AWS Lambda, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Build Management, Marketo, Atlassian Tools, Data Analytics, Machine Learning Operations, Api Gateway, Data Pipelines, Serverless Computing, Docker, Programming Languages
- **Published:** July 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-go-to-market-leader-san-diego-ca--15b68e93-8d9c-4486-849d-ee7218ac3b6e

## About the Role

* Infrastructure as Code (IaC): Deep expertise in AWS CloudFormation/CDK to ensure all virtual services are secure, version-controlled, and auditable
 * AI & Orchestration: Expertise in AWS Bedrock, Bedrock AgentCore, 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. We need someone who can use Agile ceremonies to manage the inherent uncertainty of AI outputs while maintaining a high-velocity deployment schedule.
 * 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.

Even better if you have one or more of the following:

 * 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) for live transcription and analysis.
 * Familiarity with the LangChain platform and ecosystem
 * Experience with AI evaluation and observability tools
 * Knowledge of "agentic" design patterns, Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Atlassian JIRA, Auditory, Automation, Blueprints, Cloud Computing, Compensation and Benefits, Computer Hacking, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Effectiveness Analysis, Customer Relationship Management (CRM), Data Analysis, Data Modeling, Design Patterns Programming Methodologies, DevOps, Docker, Ecosystems, Establish Priorities, Evangelism, Git, GitHub, Leadership, Machine Tool, Maintain Compliance, Marketing, Mentoring, Microsoft Windows Azure, Network Administration/Management, Performance Analysis, Performance Metrics, Process Improvement, Programming Languages, Programming Tools, Project Management Software, Prototyping, Python Programming/Scripting Language, Rapid Prototyping, Sales, Sales
Cycle, Software Development, Standards Development, System Architecture, Systems Scalability, Team Lead/Manager, Technical Sales, Technical Strategy, Training/Teaching, Website Conversion

## Description

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. This is a high-impact, hybrid role requiring a "hacker" mindset to rapidly prototype AI-native tools that eliminate friction in the sales journey.

You will be working to architect and deploy Generative AI solutions that eliminate friction in our Go-To-Market (GTM) engine. You will move beyond traditional data analytics and modeling to design and build agentic workflows and RAG (Retrieval-Augmented Generation) systems that drive a create intuitive, AI-native employee experience to our GTM representatives that supercharge our sales and marketing teams.

Architectural Design, Strategy & Mentorship

 * 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: Own 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., In this hybrid role, you''ll have 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


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