Revenue AI & Automation Architect

Role Overview

• Build AI-powered workflows that automate account research, lead qualification, forecasting support, customer health analysis, and renewal preparation
• Connect AI models and automation tools to live business systems and operational data
• Identify repetitive processes that can be automated and implement solutions that deliver measurable productivity gains
• Evaluate emerging AI technologies and determine where they can create practical business value
• Design and maintain the systems architecture that supports our commercial organisation
• Build scalable workflows that separate data, business logic, and user experience
• Reduce tooling complexity, integration debt, and manual operational work
• Establish standards for system reliability, monitoring, and maintainability
• Own the design of the revenue data model across accounts, contacts, opportunities, customer lifecycle events, and revenue data
• Manage integrations between Salesforce, marketing platforms, data warehouses, enrichment providers, and AI tooling
• Ensure data quality, governance, and operational visibility across the GTM stack
• Create trusted data foundations that support reporting, automation, and decision-making
• Translate commercial strategy into scalable systems and workflows
• Partner with leaders across Sales, Marketing, Customer Success, Partnerships, Finance, and Product
• Influence the tools we buy, the systems we build, and how automation becomes part of day-to-day execution
• Act as a technical partner to business stakeholders, balancing short-term needs with long-term scalability

Requirements

• 5+ years in GTM Engineering, Revenue Operations, Revenue Systems, Business Systems, or a similar technical role
• Strong Salesforce experience, with expertise extending beyond administration
• Experience designing and managing complex business system integrations
• Experience deploying AI-powered workflows, automations, agents, or model-driven applications into production environments
• Strong data modelling and systems design skills
• Ability to move comfortably between strategic planning and hands-on implementation

Benefits

• Competitive salary
• Flexible working hours
• Professional development opportunities
• Significant influence over commercial technology stack
• Freedom to implement impactful solutions