Principal AI Go-to-Market Operations Engineer

QAD Inc.; México; A distancia; PHP 1.180.000 - 1.836.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthy work-life balance

Growth opportunities

Collaborative culture

Competitive compensation

Descripción de la vacante

QAD Inc. is seeking a Principal AI Go-to-Market Operations Engineer in Pune, India. This hybrid role blends software engineering, data science, and revenue strategy to augment the GTM stack with AI across sales, RevOps, marketing, and customer success.

You will design AI integrations, build internal LLM tools, and create agentic workflows to boost pipeline and reduce friction, while collaborating with cross-functional teams to optimize spend and outcomes.

Formación

• 5+ years of experience in Marketing/Revenue Operations or GTM Engineering.
• Deep knowledge of modern B2B GTM stack — Salesforce as CRM and data hub.
• Experience with AI agent orchestration and prompt libraries.

Responsabilidades

• Design, code, and deploy custom AI integrations across CRM and Sales Engagement platforms.
• Build internal LLM-based tools to automate account enrichment and outbound messaging.
• Develop agentic workflows for routine administrative tasks across the revenue organization.
• Audit the tech stack with RevOps/Marketing Ops to reduce vendor spend and identify AI improvements.
• Collaborate with Marketing leadership on AI-driven content distribution and performance marketing automation.

Conocimientos

GTM Engineering

Salesforce

AI Agent Orchestration

Prompt Libraries

Vendor Reduction

Herramientas

Clay

Claude

Outreach

Gong

Chorus

Descripción del empleo

Principal AI Go-to-Market Operations Engineer

• Full-time
• Time Type: Full Time
• Department: Marketing
• Location: India - Pune

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 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:

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.

• 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.
• Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Clay, Claude, Outreach, Gong or Chorus, etc
• 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 pipeline required, conversion rates by stage, and the specific AI interventions that move each number. If someone says \"we need 20 opportunities 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.

• 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 and QAD Redzone:

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises.

QAD Redzone helps to enable QAD’s vision for the Adaptive Enterprise. Labor productivity improvements directly impact efficiency. Productive and empowered employees increase the effective capacity of your plant and accelerate time to productivity for new employees giving manufacturers the agility to increase production beyond what was previously possible without having to invest in production equipment or new plants, and reduce the amount and impact of employee attrition. Empowered employees with a growth mindset take extreme ownership of challenges that impact their production goals, creating resilience in the face of disruption.

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.