AI Go-to-Market Operations Engineer

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.

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 Marketing, Sales, RevOps, 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, Marketing Automation, and Sales Engagement platforms.

• Build proprietary internal LLM-based tools to automate lead enrichment, personalized outbound messaging, and customer health scoring.

• Develop agentic workflows that handle routine administrative tasks (e.g., CRM data entry, meeting summaries, and follow-up scheduling) across the revenue organization.

2. Revenue Ecosystem Optimization

• Partner with Marketing Ops and  RevOps 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 pipeline 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.

• 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 sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. 

• Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo, ABM tools, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified. 

• Proven track record of consolidating tech stacks and reducing vendor spend without sacrificing performance.

• Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. 

• Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). 

• Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. 

• Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all.
   

What You’ll Bring to the Team:

• A proactive mindset with a passion for enabling marketing success through AI. 

• Ability to bridge the gap between strategy and execution - bringing ideas to life through strong operational planning.

• Flexibility and resilience in the face of a high-growth, ever-evolving SaaS environment.

• A collaborative spirit and willingness to roll up your sleeves to help the team succeed.

• Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business, launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.
• An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or Hierarchy.
• Compensation packages based on experience and desired skill set

About QAD:

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.