Responsibilities
- 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
Nice to Have
- Experience building with LLMs, AI APIs, or modern automation platforms
- Experience with tools such as n8n, Clay, Make, Zapier, Workato, or similar platforms
- Strong opinions on data governance, automation design, and system architecture
- Experience scaling systems within a high-growth B2B SaaS company
- Experience working across multiple GTM functions rather than supporting a single team
