Principal AI Go-to-Market Operations Engineer
QAD, Inc.Company Description
QAD is a world-class SaaS company, and we are growing. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain.
Job Description
We are seeking a visionary and highly technical AI Go-To-Market (GTM) Engineer to sit at the core of our revenue engine. This is not a traditional operations role; it is a hybrid of software engineering, data science, and revenue strategy. You will be responsible for architecting an AI-first GTM ecosystem that bridges the gap between Sales, RevOps, Marketing, and Customer Success.
Your goal is to ensure that every individual in our GTM organization and every piece of our technology stack is augmented by Artificial Intelligence. You will build the bridges that allow us to generate more pipeline, accelerate deal velocity, and eliminate administrative friction, all while optimizing our tech spend.
Responsibilities:
1. AI Architecture & Custom Integration
Design, code, and deploy custom AI integrations from scratch to connect our CRM, Sales Engagement platforms, and other technology stack components.
Build proprietary internal LLM-based tools to automate account and contact enrichment, outbound messaging for early and middle of the funnel prospects.
Develop agentic workflows that handle routine administrative tasks (e.g., CRM data, meeting summaries, and follow-up scheduling) across the revenue organization.
2. Revenue Ecosystem Optimization
Partner with RevOps and Marketing Ops to audit the existing tech stack, identifying redundancies where AI can replace high-cost, low-utility third-party vendors.
Implement predictive modeling to identify high-intent pipelines and provide Sales with real-time "Next Best Action" recommendations.
Ensure data integrity across all platforms, creating a "single source of truth" that AI models can leverage for accurate forecasting.
3. Cross-Functional Efficiency
Collaborate with Customer Success to build AI-driven retention loops and automated renewal triggers.
Consult with Marketing leadership on AI-driven content distribution and performance marketing automation to lower Customer Acquisition Cost (CAC).
Act as an internal consultant, training GTM teams on how to effectively "prompt" and utilize deployed AI tools to maximize their individual output.
Qualifications
- 5+ years of experience in Marketing/Revenue Operations or GTM Engineering. Deep understanding of the "Leads-to-Revenue" funnel and "Best-in-Class" SaaS ecosystems.
- Ability to write and maintain production integrations — Python, JavaScript, html, or equivalent — connecting AI agents to CRM, MAP, and sequenc
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