Job Title

Role: AI Automation ExecutiveLocation: Remote (Aligned with UK time zone)Experience: 3–5 YearsAbout the RoleWe are hiring an AI Automation Executive to join the AI Transformation team, reporting to the Head of AI Transformation. This is an end-to-end role: you will sit with team leads across the business, identify broken or inefficient processes, scope and estimate the ROI of automating them, and ship the solution — typically as an n8n workflow, Anthropic Managed Agent, or a combination of the two.Every project ladders back to three quarterly objectives: revenue generated by AI automations, hours saved across the business, and a shared AI knowledge layer live across every department. If you cannot tie a piece of work back to one of those three, we don’t do it.Key ResponsibilitiesExecution — Ship Automations That Move the Business• Lead cross-team discovery conversations with department leads to surface broken or inefficient processes that are good candidates for automation.• Scope each opportunity end-to-end: write the brief, estimate hours saved and revenue impact, and stamp it on the Linear ticket before build.• Design, build, and deploy production-grade workflows in n8n — multi-step, fault-tolerant, with clear error handling and monitoring.• Build AI-driven workflows using Anthropic (primary) and OpenAI — prompt engineering, Managed Agents, tool use, and conversational flows where appropriate.• Develop and maintain integrations across the Healf stack via APIs, webhooks, and MCP — Shopify, Snowflake, Slack, Linear, Airtable, Notion, Gorgias, Xero.• Own automations in production: monitor, debug, perform root-cause analysis on failures, and keep workflows reliable enough that the rest of the business can trust them.Enablement — Build the AI Knowledge Layer• Contribute to the shared AI knowledge layer — ingesting SOPs, building MCP servers, and shipping skills that other teams can use.• Author and maintain MCP integrations and shared skills that lift other teams’ productivity, not just your own.• Run training and enablement sessions for non-technical teams (Claude 101, n8n basics, agent building) so the rest of the team can build on top of what we deliver.• Maintain clean technical documentation: workflow diagrams, SOPs, architecture notes, and post-mortems.Requirements• Strong hands-on n8n experience — workflow design, custom nodes, scaling, self-hosted deployments, and an opinion on keeping large workflow estates maintainable.• Working fluency with AI/LLM APIs — Anthropic and/or OpenAI in production. You can reason about prompt design, agent loops, tool use, context windows, and where AI is the wrong tool.• Solid scripting ability — JavaScript preferred (n8n code nodes, custom logic); Python a plus.• REST APIs, OAuth, JSON, webhooks — advanced. You can wire up complex integrations without supervision.• Production reliability mindset — logging, monitoring, alerting, retries, idempotency, and root-cause analysis on critical failures.• Commercial framing — you can quantify hours saved and revenue impact for a piece of work, defend the number, and revisit it after launch.• Discovery and scoping — comfortable sitting with non-technical team leads, asking the right questions, and translating their pain into a clear automation brief.• Independent ownership — you can take a problem from first conversation to deployed automation without being managed step-by-step.• Enablement instinct — you can train and mentor others on the tools you build. You value the leverage of teaching as much as the leverage of shipping.Preferred Skills• Experience authoring or consuming MCP servers (Model Context Protocol).• Experience with Anthropic Managed Agents, Claude Code, or Claude Cowork.• E-commerce / Shopify experience, particularly at scale (Snowflake-backed analytics rather than API pagination workarounds).• Prior ownership of an automation portfolio with measurable hours-saved or revenue-impact reporting.• Self-hosting n8n, Docker, and basic cloud deployment hygiene (AWS, GCP, or Azure).• Voice AI exposure (Vapi or similar).• Familiarity with security and data governance - secrets management, PII handling, human-in-the-loop review gates.Experience• 3–5 years in workflow automation, integration engineering, or AI/automation architecture.• Track record of high-volume, production-critical automations — ideally with a number attached (hours saved, revenue generated, processes replaced).• Exposure to tools like Zapier, Make, or similar platforms alongside n8n.• Experience with branching logic, queues, async processes, and non-trivial data transformations.EducationBachelor’s degree in Computer Science, IT, or Engineering — a strong portfolio of shipped work matters more than any credential.Why Join Us• Work at the centre of a genuinely AI-native business - not a side project, the core strategy.• High ownership and end-to-end accountability from day one.• Collaborate with a tight, cross-functional team and direct access to the Founder and CTO.• Build automations that move real business metrics - every project has a number attached.• Flexible, remote work environment aligned to UK time zone.