Revenue Automation Architect

Position Summary

Abe Tech is seeking a Revenue Automation Architect to help build the internal tools, automations, integrations, and AI-enabled workflows that will modernize how we sell, deliver, support, and operate across the business. This role starts with revenue and sales automation, but the broader goal is to help shape a connected operating platform for Abe Tech - one that brings together data, process, and user experience across business units.

Key Responsibilities

Build and Architect Business Applications

• Build features end-to-end across the stack, including frontend, backend, data, workflows, and integrations.

• Design system architecture, data models, and integration patterns for new internal and customer-facing tools.

• Plan how independent tools and automations can eventually consolidate into a more unified company operating platform.

• Make pragmatic technology decisions and document the reasoning, tradeoffs, and implementation approach.

Automate Revenue and Operating Workflows

• Design and build automation solutions that improve sales, marketing, client experience, revenue operations, implementation, support, and leadership workflows.

• Create tools that reduce manual effort, improve speed and consistency, and give teams better visibility into the business.

• Use Microsoft Power Platform where it is the right fit, while also applying traditional software development where custom solutions are needed.

• Prioritize high-impact work that delivers measurable time savings, revenue enablement, or operational improvement.

Apply AI Where It Creates Real Value

• Use AI development tools to accelerate personal productivity while maintaining strong engineering fundamentals.

• Design and embed AI capabilities into the platform where they solve real problems, such as internal support agents, knowledge retrieval, suggested-next-step tooling, intelligent document processing, and data extraction.

• Evaluate emerging AI/ML approaches and recommend practical ways to incorporate the strongest ideas into Abe Tech systems.

• Ensure AI-enabled workflows are secure, explainable enough for the use case, and aligned with business needs.

Integrate Data, Systems, and Infrastructure

• Build ETL pipelines and integrations that aggregate data from ERP, CRM, and other line-of-business systems.

• Design data models that support both transactional applications and analytics/reporting needs.

• Manage REST/SOAP API integrations with vendors and internal systems.

• Follow Azure security, networking, infrastructure, and deployment best practices.

Partner Across the Business

• Learn Abe Tech's full business cycle, from pre-sales through installation, implementation, support, and ongoing customer success.

• Partner directly with teammates in sales, operations, support, leadership, and other business units to understand pain points and validate solutions.

• Communicate clearly with both technical and non-technical stakeholders through strong written documentation and direct conversation.

Requirements

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.

• 5+ years of experience in software development, business process automation, systems integration, or digital transformation.

• Hands-on experience building applications, automations, or workflow tools that solve real business problems.

• Working experience with Microsoft Power Platform, including Power Automate and/or Power Apps.

• Strong SQL skills and experience working with data models, reporting data, or ETL processes.

• Experience integrating systems using REST/SOAP APIs, connectors, or middleware.

• Working knowledge of Microsoft Azure, cloud deployment concepts, and CI/CD practices.

• Familiarity with CRM and ERP systems, and a working understanding of revenue, sales, marketing, or operations processes.

• Strong documentation discipline and the ability to explain technical decisions clearly.

Preferred Qualifications

• Hands-on experience building AI/ML-powered applications.

• Comfort using AI development tools such as ChatGPT, Claude, Git Hub Copilot, or similar tools as productivity multipliers.

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