
Principal AI Go-to-Market Operations Engineer
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in Mexico.
β’ Designing an AI-first go-to-market ecosystem that connects Sales, RevOps, Marketing, and Customer Success.
β’ Create, program, and implement custom AI integrations from the ground up to link our CRM, Sales Engagement platforms, and other technology components.
β’ Develop proprietary internal tools based on large language models (LLMs) to automate account and contact enrichment, as well as outbound messaging for early and mid-funnel prospects.
β’ Establish automated workflows that manage routine administrative tasks (such as CRM data management, meeting summaries, and follow-up scheduling) throughout the revenue organization.
β’ Collaborate with RevOps and Marketing Ops to evaluate the current tech stack, pinpointing redundancies where AI can replace costly, low-utility third-party services.
β’ Utilize predictive modeling to pinpoint high-intent pipelines and provide Sales with real-time recommendations for the 'Next Best Action.'
β’ Maintain data integrity across all platforms, creating a unified data source that AI models can utilize for precise forecasting.
β’ Work with Customer Success to develop AI-driven retention strategies and automated renewal notifications.
β’ Advise Marketing leadership on AI-driven content distribution and performance marketing automation to reduce Customer Acquisition Cost (CAC).
β’ Serve as an internal consultant, educating GTM teams on effective prompts and usage of deployed AI tools to enhance their productivity.
β’ Over 5 years of experience in Marketing/Revenue Operations or GTM Engineering.
β’ In-depth understanding of the 'Leads-to-Revenue' funnel and high-performing SaaS ecosystems.
β’ Proficiency in writing and maintaining production integrations β Python, JavaScript, HTML, or similar β that connect AI agents to CRM, MAP, and sequencing tools via APIs.
β’ Comprehensive knowledge of the modern B2B GTM stack β specifically Salesforce (as a CRM and data hub), Clay, Claude, Outreach, Gong, or Chorus, etc.
β’ Proven success in consolidating tech stacks and decreasing vendor expenses while maintaining performance.
β’ Familiarity with pipeline mathematics and unit economics: capable of reverse-engineering from a revenue goal to the required pipeline, conversion rates by stage, and specific AI interventions that influence each metric.
β’ Experience in AI agent orchestration β overseeing multiple AI agents operating in different segments or functions simultaneously, managing conflicts, avoiding duplicate outreach, and ensuring data quality in the hub (Salesforce).
β’ Established ability to create prompt libraries, training datasets, and refinement workflows for AI agents β treating agent training as an ongoing discipline rather than a one-off setup.
β’ Strong insights into when AI should substitute human effort versus complement it β with the discernment to understand that ineffective AI automation can jeopardize deals faster than having no automation at all.
β’ Your health and well-being are a priority at QAD. We offer programs that support a healthy work-life balance.
β’ An opportunity to be part of a growing business as it embarks on its next phase of expansion and transformation.
β’ A collaborative culture filled with intelligent and dedicated individuals who support each other to achieve goals.
β’ An environment of growth and opportunity, where sharing ideas is consistently valued over rank or hierarchy.
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