Revenue Systems & AI Architect (HubSpot / AI / Revenue Operations) — Remote

The DG

Multiple Cities, Pakistan

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Posted 4 days ago 16 views Report Job

$. 8,000 - 8,000/Month

The DG Company is searching for a highly skilled Revenue Systems & AI Architect to remotely lead the design and implementation of cutting-edge revenue operations and automation systems. This role centers on building an integrated operating system that manages every stage of the customer journey after the initial lead generation. The successful candidate will own and optimize the HubSpot CRM platform from the ground up while architecting seamless revenue operations, automations, AI-powered interactions, and customer experience systems. This position is perfect for a technical builder passionate about leveraging AI and automation to enhance sales efficiency and accelerate revenue growth without increasing headcount. This full-time remote opportunity requires at least four years of experience in revenue operations and CRM systems architecture, advanced technical expertise in HubSpot and AI integration, and a strong builder's mindset. While this role does not involve managing a team, it demands close collaboration with the Growth Operator and Creative/Web Lead to create a cohesive customer lifecycle from lead capture through post-sale engagement. The primary objective is to create scalable, automated processes and intelligent systems that transform how several growing businesses manage their sales pipelines and customer interactions.
Responsibilities
- Design, build, and continuously improve all systems and processes triggered after a lead enters the business to maximize sales velocity and revenue outcomes.
- Architect and own the entire HubSpot CRM ecosystem including pipelines, lifecycle stages, lead scoring, deal stages, automation workflows, dashboards, permissions, data integrity, and reporting frameworks.
- Map and automate every step of the sales process to eliminate manual tasks including lead routing, follow-ups, task creation, notifications, reminders, opportunity recovery, onboarding, upsells, and renewals.
- Develop and deploy AI systems across multiple business functions such as AI voice and text agents, sales assistants, customer support bots, proposal generators, internal tools, and workflow automations.
- Own the design and implementation of the full customer journey post-lead capture encompassing nurture campaigns, appointment reminders, onboarding procedures, product education, review and referral campaigns, cross-sell and upsell opportunities, and reactivation efforts.
- Create and maintain internal revenue systems that improve sales team efficiency, including proposal generators, sales calculators, product selectors, quoting platforms, portals (dealer and customer), dashboards, and mobile tools.
- Develop AI-driven training materials and knowledge bases that distill best practices into scalable learning systems such as sales playbooks, interactive training modules, onboarding programs, and documentation.
- Integrate and optimize website lead capture mechanisms, personalization, tracking, automation, CRM integrations, and conversion optimization strategies in collaboration with marketing stakeholders.
- Drive continuous improvement initiatives by actively seeking ways to accelerate processes, increase automation, replace repetitive tasks with AI, and enhance revenue generation efficiency.
- Maintain high standards of data quality and system performance while providing actionable insights through analytics and reporting.
- Take full ownership of projects with a proactive, solution-oriented approach demonstrating strong systems thinking and technical problem-solving skills.
- Collaborate closely with cross-functional team members without directly managing staff, contributing expert technical guidance and execution support.

The ideal candidate exhibits expertise in HubSpot CRM system architecture, strong coding and API integration capabilities, significant experience deploying advanced AI solutions in business contexts, and a passion for building scalable, automated revenue operations systems that drive measurable business impact.